Data-Science-CheatSheets-and-Resources
## <p align="center">CHEATSHEETS AND RESOURCES TO LEARN DATA SCIENCE</p> In this repository, I have curated all the materials one can use to study SQL, Data Analysis, Statistics, Machine learning Algorithms, LangChain, and MLOps. <a id="top"></a> ### Table of Contents 1. [YouTubers/Playlists to Follow](#YouTubers) 2. [SQL](#sql) 3. [Python](#python) 4. [Probability and Statistics](#statistics) 5. [Machine Learning](#machine-learning) 6. [LangChain](#langchain) 7. [MLOPS](#mlops) 8. [Books](#books) 9. [Case Studies and System Design](#case-studies) 10. [Product Metrics](#product-metrics) 11. [Tech Blogs](#tech-blogs) 12. [Podcasts](#podcasts) -------------- ### <a id="YouTubers"></a>YouTubers/Playlists to Follow - [KRISH NAIK COMPLETE MACHINE LEARNING: Playlist](https://www.youtube.com/playlist?list=PLZoTAELRMXVPBTrWtJkn3wWQxZkmTXGwe) - [CampusX: Playlist](https://www.youtube.com/@campusx-official/playlists) - [Data Monk Channel - Machine Learning: Playlist](https://www.youtube.com/@thedatamonk7779/videos) - [Data Professor](https://www.youtube.com/dataprofessor?sub_confirmation=1) - [StatQuest with Josh Starmer](https://www.youtube.com/user/joshstarmer) - [Cory Schafer](https://www.youtube.com/user/schafer5) - [Codebasics](https://www.youtube.com/channel/UCh9nVJoWXmFb7sLApWGcLPQ) - [Data School](https://www.youtube.com/user/dataschool) - [Siddhardhan: Playlist](https://www.youtube.com/c/Siddhardhan/videos) - [The Data Scientist Show by Daliana Liu - DATA PODCAST: Playlist](https://www.youtube.com/@TheDataScientistShow/videos) - [Ken Jee](https://www.youtube.com/c/kenjee1?sub_confirmation=1) - [3Blue1Brown](https://www.youtube.com/channel/UCYO_jab_esuFRV4b17AJtAw) - [Sentdex](https://www.youtube.com/user/sentdex) - [365 Data Science](https://www.youtube.com/channel/UCEBpSZhI1X8WaP-kY_2LLcg) - [Data Science Dojo](https://www.youtube.com/user/DataScienceDojo) - [Data Camp](https://www.youtube.com/channel/UC79Gv3mYp6zKiSwYemEik9A) - [Data Science Jay](https://www.youtube.com/channel/UCcQx1UnmorvmSEZef4X7-6g) - [Abhishek Thakur](https://www.youtube.com/user/abhisheksvnit) - [Two Minute Papers](https://www.youtube.com/user/keeroyz) -------------- ### <a id="sql"></a>2. SQL #### CODING PRACTICE WEBSITES - [DataLemur](https://datalemur.com/questions?category=SQL) - [LeetCode](https://leetcode.com/problemset/database/) - [Interview Query Coding Questions](https://www.interviewquery.com/questions) - [StrataScatch](https://www.stratascratch.com/blog/categories/sql/) - [DataFord Io](https://dataford.io/sql) - [Hackerrank](https://www.hackerrank.com/domains/sql) - [Analyst Builder](https://www.analystbuilder.com/questions) - [SQL ZOO](https://sqlzoo.net/wiki/SQL_Tutorial) - [Best Medium-Hard SQL Coding Questions and Answers](https://quip.com/2gwZArKuWk7W) - [LeetCode SQL Solutions GitHub](https://github.com/jjjchens235/leetcode-sql-unlocked/blob/master/db_fiddle_public_urls.md) #### YOUTUBE PLAYLIST/CHANNELS - [Tina Huang’s SQL Series](https://www.youtube.com/playlist?list=PLVD3APpfd1tuXrXBWAntLx4tNaONro5dA) - [StrataScratch - SQL Playlist](https://www.youtube.com/playlist?list=PLv6MQO1Zzdmq5w4YkdkWyW8AaWatSQ0kX) - [Crack Concepts SQL](https://www.youtube.com/@crackconcepts) - [Ankit Bansal - SQL](https://www.youtube.com/@ankitbansal6) - [Queries Asked in FAANG and MNCs](https://www.youtube.com/playlist?list=PLpDBa472H_1R_FXj0gwgrbddi0v5HJRbw) - [Alex The Analyst’s SQL Playlists](https://www.youtube.com/@AlexTheAnalyst/playlists) #### ARTICLES/VIDEOS - [DataLemur Nick Singh’s Guide](https://datalemur.com/blog/sql-interview-guide?utm_source=linkedin.com&utm_medium=social&utm_campaign=sql-interview-guide) - [Top 25+ Data Science SQL Interview Questions](https://www.interviewquery.com/p/data-science-sql-interview-questions) - [Mode Analytics - SQL Tutorial](https://mode.com/sql-tutorial/introduction-to-sql/) - [GeeksForGeeks: 30 Days of SQL (Basic to Advanced)](https://www.geeksforgeeks.org/30-days-of-sql-from-basic-to-advanced-level/) - [Data with Danny: 8 Week SQL Challenge](https://8weeksqlchallenge.com/) - [MySQL Playlist by Krish Naik](https://www.youtube.com/playlist?list=PLZoTAELRMXVNMRWlVf0bDDSxNEn38u9Cl) - [SQLZoo: SQL Tutorial](https://sqlzoo.net/wiki/SQL_Tutorial) - [W3Resources: SQL Exercises](https://www.w3resource.com/sql-exercises/) #### INTERVIEW PREPARATION - [Ken Jee’s Simple SQL Fundamentals](https://www.youtube.com/watch?v=WKXtTo7lqmA&ab_channel=KenJee) - [Facebook SQL Mock Technical Interview: Part 2 by Jay Fang](https://www.youtube.com/watch?v=LcVz8wSM-AM) - [SQL Intermediate Concepts by TechTFQ](https://www.youtube.com/playlist?list=PLavw5C92dz9FD9XspliRM_HZM_jK7tkii) - [Top SQL Questions Part 1 (TOP N) - Emma Ding](https://www.youtube.com/watch?v=zPSIUE9TxBw&ab_channel=EmmaDing) - [Top SQL Questions Part 2 (Ratios) - Emma Ding](https://www.youtube.com/watch?v=DJ7NiQ2rnGE&ab_channel=EmmaDing) - [Amazon SQL Interview Question](https://www.youtube.com/watch?v=YJJrVpEVl4Y&ab_channel=FrederikM%C3%BCller) - [Clever Programming SQL Interview Questions](https://thecleverprogrammer.com/2023/07/19/sql-interview-questions-for-data-science/) - [Complex SQL 2 - Find New and Repeat Customers | Ankit Bansal](https://www.youtube.com/watch?v=MpAMjtvarrc&ab_channel=AnkitBansal) - [SQL Mock Interview: Departments with the Highest Revenues | Exponent](https://www.youtube.com/watch?v=EYxoPVSBKcU&t=2884s&ab_channel=Exponent) - [TOP 5 SQL QUESTIONS (Amazon, Google, Swiggy, Zomato, Flipkart, AngelOne) by InsightsLift](https://www.youtube.com/watch?v=XTkzws9bV1E&ab_channel=InsightsLift) - [Microsoft SQL Interview Question | Possible Flight Routes by Ankit Bansal](https://youtu.be/IFGEpvNSfLQ?si=IXMafik-6kkDB-GJ) - [SQL Solution to SPOTIFY Days At Number One Question Hard by StrataScratch](https://youtu.be/93quPoReV1M?si=dZdXqq5s8OhqQ-pm) ##### [Go to Top](#top) -------------- ### <a id="python"></a>3. PYTHON #### CODING PRACTICE WEBSITES - [CodeWars](https://www.codewars.com/dashboard) #### YOUTUBE PLAYLIST/CHANNELS - [Learning Pandas for Data Analysis? Start Here.](https://www.youtube.com/watch?v=DkjCaAMBGWM) - [Data analysis in Python with pandas by Data School](https://www.youtube.com/playlist?list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y) #### ARTICLES/VIDEOS - [Python pandas video series by Data School GitHub](https://github.com/justmarkham/pandas-videos?tab=readme-ov-file) - [10 minutes to pandas by Pandas.pydata.org](https://pandas.pydata.org/docs/user_guide/10min.html#basic-data-structures-in-pandas) #### INTERVIEW PREPARATION - [Solving Coding Interview Questions in Python on LeetCode (easy & medium problems)](https://www.youtube.com/watch?v=qnSF8YaPx78&ab_channel=KeithGalli) ##### [Go to Top](#top) -------------- ### <a id="statistics"></a>4. PROBABILITY AND STATISTICS #### YOUTUBE PLAYLIST/CHANNELS - [Ace the Statistics Interview by Emma Ding (YouTube Playlist)](https://www.youtube.com/playlist?list=PLY1Fi4XflWStljP1tzfAfU_Qn0wHzhzYm) - [DATAtab](https://www.youtube.com/@datatab/playlists) - [Statistics Made Easy by Andrew Jones (YouTube Playlist)](https://www.youtube.com/playlist?list=PLsmRQcJN_xK7GHNOEX6aVllckki3qypBl) - [Statistics Fundamentals by StarQuest (YouTube Playlist)](https://www.youtube.com/playlist?list=PLblh5JKOoLUK0FLuzwntyYI10UQFUhsY9) #### ARTICLES/VIDEOS - [Applying Causal Inference with Python: A Practical Guide (Medium)](https://medium.com/@craakash/applying-causal-inference-with-python-a-practical-guide-cf4878a9c5b2) - [Step by Step Process for Planning an A/B Test (Medium)](https://medium.com/towards-data-science/step-by-step-for-planning-an-a-b-test-ef3c93143c0b) - [Top 8 Statistics Interview Questions for a Data Science Interview](https://taylor-mark110.medium.com/top-8-statistics-interview-questions-for-a-data-science-interview-ef95ad1dfefb) - [Hypothesis Testing](https://medium.com/@MrBam44/hypothesis-testing-ec49cfa40414) - [Hypothesis Testing | Difference between Z-Test and T-Test](https://www.analyticsvidhya.com/blog/2020/06/statistics-analytics-hypothesis-testing-z-test-t-test/) - [A/B testing: A step-by-step guide in Python | by Renato Fillinich](https://towardsdatascience.com/ab-testing-with-python-e5964dd66143) - [Mastering Hypothesis Testing for DS Interviews by YoussefHosni](https://yousefhosni.medium.com/mastering-hypothesis-testing-for-data-science-interviews-6d1465001518) - [Understanding of A/B Testing with Udacity's Free Course](https://lnkd.in/eRCtUcnF) - [Mastering A/B Testing: A Real World Business Example [Part 1]](https://pub.towardsai.net/mastering-a-b-testing-a-real-world-business-example-part-1-fa0ae3721e43) - [Data Labs Statistics](https://datatab.net/tutorial/get-started) - [How to Do A/B Testing: 15 Steps for the Perfect Split Test](https://blog.hubspot.com/marketing/how-to-do-a-b-testing?utm_source=youtube&utm_medium=social&utm_campaign=vV3g5VuSrIQ_academy_youtube) - [A/B Testing Fundamentals: What Every Data Scientist Needs to Know! By Emma Ding](https://www.youtube.com/watch?v=VpTlNRUcIDo) - [Causal analysis overview: Causal inference versus experimentation versus causal discovery](https://medium.com/data-science-at-microsoft/causal-analysis-overview-causal-inference-versus-experimentation-versus-causal-discovery-d7c4ca99e3e4) - [How to perform A/B Testing in Python (Medium)](https://freedium.cfd/medium.com/@vikashsinghy2k/how-to-perform-a-b-testing-in-python-3f61916b2c96) #### INTERVIEW PREPARATION - [Practice real-world problems on Interview Query](https://www.interviewquery.com/questions?searchQuery=&searchQuestionTag=&searchCompany=&tags=Statistics&tags=Probability) - [Mock Interview by Exponent](https://www.youtube.com/watch?v=LLfLl5XwJzc&list=PLrtCHHeadkHqFEO69UiOj9BHA7pah-0fj&index=9) ##### [Go to Top](#top) -------------- ### <a id="machine-learning"></a>5. MACHINE LEARNING #### YOUTUBE CHANNELS - [Emma Ding (ML, A/B testing)](https://www.youtube.com/@emma_ding/videos) - [CampusX (ML)](https://www.youtube.com/@campusx-official) - [Krish Naik in Hindi (ML)](https://www.youtube.com/@krishnaikhindi) - [Krish Naik (ML)](https://www.youtube.com/@krishnaik06) - [Exponent (ML, Business Case Study)](https://www.youtube.com/@ExponentTech/videos) - [StarQuest by Josh Starmer (ML)](https://www.youtube.com/@statquest) - [Simplilearn (ML, Stats, MLOps)](https://www.youtube.com/@SimplilearnOfficial/videos) - [MathematicalMonk ML videos](https://www.youtube.com/@mathematicalmonk) #### YOUTUBE PLAYLIST - [Ace the Machine Learning Interview by Emma Ding](https://www.youtube.com/playlist?list=PLY1Fi4XflWSsLoOQr-Ee2R4qRFejtCFRh) - [CampusX: 100 Days of Machine Learning](https://www.youtube.com/playlist?list=PLKnIA16_Rmvbr7zKYQuBfsVkjoLcJgxHH) - [Complete Machine Learning playlist in Hindi by Krish Naik](https://www.youtube.com/playlist?list=PLTDARY42LDV7WGmlzZtY-w9pemyPrKNUZ) - [Complete Machine Learning Playlist by Krish Naik](https://www.youtube.com/playlist?list=PLZoTAELRMXVPBTrWtJkn3wWQxZkmTXGwe) - [Machine Learning by StarQuest](https://www.youtube.com/playlist?list=PLblh5JKOoLUICTaGLRoHQDuF_7q2GfuJF) - [Data Science and Machine Learning with Python by Krish Naik](https://www.youtube.com/playlist?list=PLZoTAELRMXVOnN_g96ayzXX5i7RRO0QhL) - [StarQuest with Josh Starmer](https://www.youtube.com/c/joshstarmer/playlists) - [MathematicalMonk ML videos playlist](https://www.youtube.com/playlist?list=PLD0F06AA0D2E8FFBA) #### READING RESOURCES & TUTORIALS - [Introduction to Machine Learning Interviews Book](https://huyenchip.com/ml-interviews-book/) - [The Data Science Interview Book](https://book.thedatascienceinterviewproject.com/) - [Machine Learning | GeeksforGeeks](https://www.geeksforgeeks.org/machine-learning/) - [Model Explainability using SHAP values (GitHub)](https://github.com/shap/shap) #### INTERVIEW PREPARATION - [Data Science Interview Questions by Krish Naik](https://www.youtube.com/playlist?list=PLZoTAELRMXVPkl7oRvzyNnyj1HS4wt2K-) - [Top 50+ Machine Learning Interview Questions and Answers](https://www.geeksforgeeks.org/machine-learning/machine-learning-interview-questions/#) - [Machine Learning Interview Mastery by Emma Ding](https://www.youtube.com/watch?v=21E-bUnGQQ4) - [Interview Questions by Campus se Corporate tak](http://campussecorporate.com/blog/) - [Interview Questions - Data Scientist Positions by S. Gosh (GitHub)](https://github.com/Sghosh1999/Interview-Questions-Data-Scientist-Positions/tree/main) #### ARTICLES/VIDEOS - [Techniques to Boost Model Accuracy](https://freedium.cfd/https://towardsdatascience.com/boosting-model-accuracy-techniques-i-learned-during-my-machine-learning-thesis-at-spotify-code-8027f9c11e57) - [All Learning Algorithms Explained in 14 Minutes](https://www.youtube.com/watch?v=BT6Aw6Q75Yg) - [An Introduction to Statistical Learning - Resources for Python](https://www.statlearning.com/resources-python) - [ML Models Explained by Amazon Employees](https://mlu-explain.github.io/) - [Machine Learning for Everybody – Full Course by FreeCodeCamp](https://www.youtube.com/watch?v=i_LwzRVP7bg&ab_channel=freeCodeCamp.org) #### Data Preprocessing - [One Hot Encoding - Everything You Want to Know (Kaggle)](https://www.kaggle.com/code/marcinrutecki/one-hot-encoding-everything-you-need-to-know) #### Bias-Variance Tradeoff/Overfitting/Underfitting - [What is Regularization: Bias-Variance Tradeoff](https://towardsdatascience.com/machine-learning-bias-variance-tradeoff-and-regularization-94846f945131/) #### Linear Regression - [Linear Regression Algorithm by Edureka](https://www.youtube.com/watch?v=E5RjzSK0fvY) - [Assumptions of Linear Regression by CampusX](https://www.youtube.com/watch?v=EmSNAtcHLm8&t=389s) - [30 Questions to Test a Data Scientist on Linear Regression](https://www.analyticsvidhya.com/blog/2017/07/30-questions-to-test-a-data-scientist-on-linear-regression/) - [Linear Regression by Machine Learning University](https://mlu-explain.github.io/linear-regression/) - [5 Types of Regression and Their Properties](https://towardsdatascience.com/5-types-of-regression-and-their-properties-c5e1fa12d55e) - [Ridge Regression - Clearly Explained](https://www.youtube.com/watch?v=Q81RR3yKn30) - [Lasso Regression - Clearly Explained](https://www.youtube.com/watch?v=NGf0voTMlcs) - [L1 and L2 Regularization in Machine Learning by Emma Ding](https://www.youtube.com/watch?v=pJ5c_uLeg2A&list=PLY1Fi4XflWSsLoOQr-Ee2R4qRFejtCFRh&index=11) #### Logistic Regression - [Logistic Regression In-depth (Hindi) by Krish Naik](https://www.youtube.com/watch?v=_nvQKN8L1ZE&ab_channel=KrishNaikHindi) - [All About Logistic Regression (Medium)](https://medium.com/towards-data-science/logistic-regression-b0af09cdb8ad) - [Logistic Regression | GeeksForGeeks](https://www.geeksforgeeks.org/understanding-logistic-regression/) - [Logistic Regression from Scratch using Python](https://www.geeksforgeeks.org/implementation-of-logistic-regression-from-scratch-using-python/) - [Logistic Regression - Short Explanation by StarQuest](https://www.youtube.com/watch?v=yIYKR4sgzI8&ab_channel=StatQuestwithJoshStarmer) - [Linear vs Logistic Regression by Edureka](https://www.youtube.com/watch?v=OCwZyYH14uw&ab_channel=edureka%21) - [Understand Everything in Logistic Regression by Edureka](https://www.youtube.com/watch?v=VCJdg7YBbAQ&ab_channel=edureka%21) - [Lasso, Ridge, and Logistic Regression by Krish Naik](https://www.youtube.com/live/vaQxdBEcBzU) #### Tree-Based (Decision Trees, Random Forest) - [How Do Decision Trees Work - Misra Turp](https://www.youtube.com/watch?v=xDWZzD4TPO0) - [Gini Index vs Entropy - UnFold DataScience](https://www.youtube.com/watch?v=-W0DnxQK1Eo&ab_channel=UnfoldDataScience) - [Decision Trees | GeeksForGeeks](https://www.geeksforgeeks.org/decision-tree-introduction-example/) - [Post Pruning in Decision Trees - Krish Naik](https://www.youtube.com/watch?v=SLOyyFHbiqo&ab_channel=KrishNaik) - [Entropy in Decision Trees - Krish Naik](https://www.youtube.com/watch?v=1IQOtJ4NI_0) - [Information Gain - Krish Naik](https://www.youtube.com/watch?v=FuTRucXB9rA) - [Gini Impurity - Krish Naik](https://www.youtube.com/watch?v=5aIFgrrTqOw) - [Decision Tree for Numerical Features - Krish Naik](https://www.youtube.com/watch?v=5O8HvA9pMew) - [Visualize Decision Tree - Krish Naik](https://www.youtube.com/watch?v=ot75kOmpYjI) - [Extra Trees Explained (Medium)](https://medium.com/@samybaladram/extra-trees-explained-a-visual-guide-with-code-examples-4c2967cedc75) - [30 Questions to Test Tree-Based Models](https://www.analyticsvidhya.com/blog/2017/09/30-questions-test-tree-based-models/) - [Gini Index vs Information Entropy](https://towardsdatascience.com/gini-index-vs-information-entropy-7a7e4fed3fcb) - [Math Behind Decision Tree Splitting Criterions](https://mlwhiz.com/blog/2019/11/12/dtsplits/) #### Random Forest (Ensemble Bagging Algorithm) - [Guide to Ensemble Learning - Analytics Vidhya](https://www.analyticsvidhya.com/blog/2018/06/comprehensive-guide-for-ensemble-models/) - [Decision Tree vs Random Forest](https://www.analyticsvidhya.com/blog/2020/05/decision-tree-vs-random-forest-algorithm/) - [Ensemble Technique (Bagging) - Krish Naik](https://www.youtube.com/watch?v=KIOeZ5cFZ50) - [Random Forest Classifier and Regressor - Krish Naik](https://www.youtube.com/watch?v=nxFG5xdpDto) - [Decision Trees in Random Forests - Krish Naik](https://www.youtube.com/watch?v=WQ0iJSbnnZA&t=406s) - [Adaboost (Boosting) - Krish Naik](https://www.youtube.com/watch?v=NLRO1-jp5F8) - [Gradient Boosting Part 1 - Krish Naik](https://www.youtube.com/watch?v=Nol1hVtLOSg) - [Gradient Boosting Part 2 - Krish Naik](https://www.youtube.com/watch?v=Oo9q6YtGzvc) - [XGBoost Classifier - Krish Naik](https://www.youtube.com/watch?v=gPciUPwWJQQ) - [XGBoost Regression - Krish Naik](https://www.youtube.com/watch?v=w-_vmVfpssg) - [Implementation of XGBoost - Krish Naik](https://youtu.be/9HomdnM12o4) - [Why Random Forest Doesn't Work Well for Time-Series](https://medium.com/datadriveninvestor/why-wont-time-series-data-and-random-forests-work-very-well-together-3c9f7b271631) #### K-Nearest-Neighbors - [KNN Interview Questions](http://theprofessionalspoint.blogspot.com/2019/01/knn-algorithm-in-machine-learning.html) - [30 Questions to Test a Data Scientist on KNN](https://www.analyticsvidhya.com/blog/2017/09/30-questions-test-k-nearest-neighbors-algorithm/) - [Pros and Cons of KNN](https://www.fromthegenesis.com/pros-and-cons-of-k-nearest-neighbors/) - [KNN Explained (Theory + Maths + Coding)](https://www.youtube.com/watch?v=6kZ-OPLNcgE) #### Support Vector Machines - [All About SVMs - Math, Terminology, Intuition, and Kernels](https://towardsdatascience.com/support-vector-machines-svm-c9ef22815589) - [25 Questions to Test a Data Scientist on SVMs](https://www.analyticsvidhya.com/blog/2017/10/svm-skilltest/) #### Naive Bayes - [12 Tips to Improve Naive Bayes](https://machinelearningmastery.com/better-naive-bayes/) - [Naive Bayes Explained (Theory + Maths + Coding)](https://www.youtube.com/watch?v=vz_xuxYS2PM) - [6 Easy Steps to Learn Naive Bayes](https://www.analyticsvidhya.com/blog/2017/09/naive-bayes-explained/) #### K-Means (Unsupervised ML) - [KMeans in 200 Words](https://thaddeus-segura.com/k-means/) - [K-Means Clustering | CampusX](https://youtu.be/5shTLzwAdEc?si=pToZl3DFIfq-b_VP) - [KNN Overview - Medium](https://medium.com/@priyanshsoni761/k-nearest-neighbors-knn-1606989b7ee0) - [K-Means Detailed Explanation - Kaggle](https://www.kaggle.com/code/vipulgandhi/kmeans-detailed-explanation) #### Principal Component Analysis (PCA) - [PCA using sklearn by Krish Naik](https://www.youtube.com/watch?v=QdBy02ExhGI&ab_channel=KrishNaik) - [PCA Guide - Analytics Vidhya](https://www.analyticsvidhya.com/blog/2016/03/pca-practical-guide-principal-component-analysis-python/) - [Step-by-Step PCA Explanation - Builtin](https://builtin.com/data-science/step-step-explanation-principal-component-analysis) #### Model Evaluation - [Metrics and Scoring - Scikit-learn](https://scikit-learn.org/stable/modules/model_evaluation.html) - [Introduction to ROC Analysis - Tom Fawcett](https://ccrma.stanford.edu/workshops/mir2009/references/ROCintro.pdf) - [ROC Curves and AUC Explained - Data School](https://www.dataschool.io/roc-curves-and-auc-explained/) #### Recommendation Algorithm - [Marketing - Product Analytics and Recommendations](https://michael-fuchs-python.netlify.app/2020/09/08/marketing-product-analytics-and-recommendations/) #### Ranking Algorithm - [Introduction to Ranking Algorithms - Medium](https://towardsdatascience.com/introduction-to-ranking-algorithms-4e4639d65b8/) #### Time Series Forecasting Algorithm - [Complete Guide to Time Series Forecasting Models](https://medium.com/@wainaina.pierre/the-complete-guide-to-time-series-forecasting-models-ef9c8cd40037) ##### [Go to Top](#top) -------------- ### <a id="langchain"></a>6. LangChain #### INTERVIEW PREPARATION - [Natural Language Processing: Advance Techniques (Article)](https://medium.com/analytics-vidhya/natural-language-processing-advance-techniques-in-depth-analysis-b67bca5db432) - [Zero To One For NLP (Article)](https://pakodas.substack.com/p/nlp-metablog-a-blog-of-blogs-693e3a8f1e0c) #### ARTICLES/VIDEOS - [Document Loaders in LangChain | GenAI using LangChain | Video 10 | CampusX](https://www.youtube.com/watch?v=bL92ALSZ2Cg&t=2057s&ab_channel=CampusX) - [LangGraph vs LangChain vs LangFlow vs LangSmith](https://www.youtube.com/watch?v=ldBsvhjEREc&list=PL08DKV75nW3t4nIRFfPQwhKNArVPuUT3A&index=3) - [Vector Databases simply explained! (Embeddings & Indexes)](https://youtu.be/dN0lsF2cvm4?si=D0v8gE7quAnqi_Qu) - [What is a Vector Database & How Does it Work? Use Cases + Examples](https://www.pinecone.io/learn/vector-database/) #### PROJECTS - [AI Medical Chatbot with RAG Tutorial (HUGGINGFACE & LANGCHAIN) | AI in healthcare End-to-End Project](https://www.youtube.com/watch?v=OP0FYjF-37c&ab_channel=AIwithHassan) ##### [Go to Top](#top) -------------- ### <a id="mlops"></a>7. MLOps #### YOUTUBE PLAYLISTS/CHANNELS - [Amazon SageMaker (By Krish Naik)](https://www.youtube.com/playlist?list=PLZoTAELRMXVONh5mHrXowH6-dgyWoC_Ew) #### READING RESOURCES & TUTORIALS - [Docker Tutorial for Beginners [2024 Guide]](https://www.knowledgehut.com/blog/devops/docker-for-beginners#frequently-asked-questions) - [CS 329S: Machine Learning Systems Design (Course)](https://stanford-cs329s.github.io/syllabus.html) #### INTERVIEW PREPARATION - [Crack ML System Design Interviews Like a Pro — Part 1 (Medium)](https://freedium.cfd/medium.com/the-algorithmic-minds/crack-ml-system-design-interviews-like-a-pro-part-1-9c1203b2014f) #### ARTICLES/VIDEOS - [Feast as Feature Store in Machine Learning: Feature Store (MLOps)](https://www.youtube.com/watch?v=iZ8R_EUf_pM&ab_channel=AshutoshTripathi) - [The 24 MOST POPULAR AWS Services You Need to Know in 2025](https://www.youtube.com/watch?v=G-4o0dclZeQ&ab_channel=ITkFunde) - [How to Deploy Machine Learning Models by Udemy (Article)](https://christophergs.com/machine%20learning/2019/03/17/how-to-deploy-machine-learning-models/) ##### [Go to Top](#top) -------------- ### <a id="books"></a>8. BOOKS -------------- ### <a id="case-studies"></a>9. CASE STUDY AND SYSTEM DESIGN #### GENERAL CASE STUDY - [Business Metrics for Data Analysts (Video)](https://www.youtube.com/watch?v=gatWC5PSdq8) - [Critical Metrics Every Product Manager Must Track (Article)](https://productcoalition.com/critical-metrics-every-product-manager-must-track-c5f1e46e3423) - [Customers of A Feather Engage Together: Using K-Means Clustering to Maximize Retention (Article)](https://ai-analytics.wharton.upenn.edu/student-programs/analytics-accelerator/customers-of-a-feather-engage-together-using-k-means-clustering-to-maximize-retention/) - [Elasticity: The Economic Concept Behind How Companies Price Products | WSJ Price Index (Video)](https://youtu.be/dmgFP0qteBU?si=Brm8oglMTPzZdA2H) - [Pricing Strategies & Models: An In-Depth Look at How to Price Your Products Effectively (Article)](https://blog.hubspot.com/sales/pricing-strategy) - [Pricing Trends to Consider](https://clickhubspot.com/7x5) - [Demand-Based Pricing](https://clickhubspot.com/n3e) - [Guide to Dynamic Pricing](https://clickhubspot.com/e58) - [Matching and Dynamic Pricing in Ride-Hailing Platforms (Microsoft Research) (Video)](https://www.youtube.com/watch?v=cddFAgRyxQ0) - [Likely-to-Sell Recommendations for Real Estate (Article)](https://medium.com/compass-true-north/likely-to-sell-recommendations-for-real-estate-47e2f5c37f4) - [Meta Product Sense Interview Questions and Answers (Video)](https://www.youtube.com/watch?v=1wdwrCdvgsE&ab_channel=JayFeng) - [10 Case Interview Formulas You Should Definitely Know by Hacking the Case Interview (Video)](https://youtu.be/EtRr89wmhZg?si=CrjJxgRFMHeME3XF) - [Use SQL to Analyze the Impact of Upsell Marketing Campaigns (with American Express PM) (Video)](https://youtu.be/OEACt1TBy-o?si=O5ekGOpAAMrzXAjV) - [Dawn of Taxi Aggregators](https://www.analyticsvidhya.com/blog/2016/04/case-study-analytics-interviews-dawn-taxi-aggregators/) - [Optimizing product prices for an online vendor](https://www.analyticsvidhya.com/blog/2016/07/solving-case-study-optimize-products-price-online-vendor-level-hard/) - [Mercari Price Prediction](https://towardsdatascience.com/a-data-science-case-study-with-python-mercari-price-prediction-4e852d95654) - [End-to-End multiclass Text Classification pipeline](https://mlwhiz.com/blog/2020/05/24/multitextclass/) - [End-to-End multiclass Image Classification pipeline](https://mlwhiz.com/blog/2020/06/06/multiclass_image_classification_pytorch/) - [Large Scale Forecasting for 1000+ products - Nagarro](https://www.youtube.com/watch?v=8jfDBD6xlFM) - [Clustering and Classification in E-Commerce](https://lucidworks.com/post/clustering-classification-supervised-unsupervised-learning-ecommerce/) - [The ABCs of Learning to Rank](https://lucidworks.com/post/abcs-learning-to-rank/) - [Data Science Case Study: Optimizing Product Placement in Retail ](https://medium.com/data-science/data-science-case-study-optimizing-product-placement-in-retail-part-1-2e8b27e16e8d) #### SYSTEM DESIGN - [Square Machine Learning Interview: Decision Tree Bank Loan (Design ML model) (Video)](https://youtu.be/Mssq4KvSWZM?si=iRcEfD0g5mYdINdo) - [Fraud Detection - ML System Design Interview (Video)](https://www.youtube.com/watch?v=90eszaYPskk&ab_channel=TRYEXCEPT) #### COMPANY SPECIFIC CASE STUDY #### 1. LYFT/UBER - [Lyft/Uber Metric Interview Question and Answer: Tips for Data Science Interview Success! (Video)](https://www.youtube.com/watch?v=rIel9IcLUtg&ab_channel=EmmaDing) - [How Uber Built a QueryGPT](https://www.uber.com/blog/query-gpt/) - [What is Dynamic Pricing? How does Uber set its prices? (Video)](https://www.youtube.com/watch?v=nqWeiVyzlaQ&ab_channel=HubSpotMarketing) - [Data Analyst Interview | Uber Eats Market Expansion Strategy by Exponent (Video)](https://youtu.be/clsM-qJlY0c?si=FWcipe3ZHUmPsOc9) #### 2. VISA - [How Visa Became a Popular Credit Card (Video)](https://www.youtube.com/watch?v=0lpOMNC2Elo&ab_channel=CNBC) - [How Does VISA Make Money (Video)](https://www.youtube.com/watch?v=J0Gx-t1HLYg&list=TLPQMjQwMzIwMjXz0vaSqcZw5g&index=1&ab_channel=TheCompleteGuidetoEverything) - [Data Science at Visa (ACM) (Video)](http://youtube.com/watch?v=quUwYhHDsQc&list=PL08DKV75nW3uduflcVExO_vV4tsFQKZz5&index=4) #### 3. AIRBNB - [Experiments at Airbnb (Article)](https://medium.com/airbnb-engineering/experiments-at-airbnb-e2db3abf39e7#.miqyczkzb) #### 4. URBAN COMPANY - [How Urban Company uses Machine Learning to Improve Reliability of the Marketplace (Article)](https://medium.com/uc-engineering/how-urban-company-uses-machine-learning-to-improve-reliability-of-the-marketplace-0f0c1004e412) - [How Urban Company Leverages Causal Inference (Article)](https://medium.com/uc-engineering/how-urban-company-leverages-causal-inference-to-power-data-driven-decisions-a339cfcaa0e2) #### 5. WALMART - [How AI and Automation Fuel Walmart’s Ultrafast Deliveries | WSJ Shipping Wars (Video)](https://youtu.be/Nf-P-qNej3c?si=to3nj2jG3goEiuyP) #### 6. DOORDASH - [Data Preparation for Modeling [DoorDash Data Science Project] by StrataScratch (Video)](https://youtu.be/Sf6jn8QZHhc?si=qQi0gBmoRxSYJpjM) ##### [Go to Top](#top) -------------- ### <a id="product-metrics"></a>10. PRODUCT METRICS #### READING RESOURCES & TUTORIALS - [The Definitive Guide to Designing Product Metrics (Article)](https://medium.com/data-science/the-definitive-guide-to-designing-product-metrics-ba5d9e8e07e9) - [How to Succeed in A Product Data Science Interview (Article)](https://blog.pramp.com/how-to-succeed-in-a-data-science-interview-27553ab69d8a) - [Are You Tracking the Right Metrics? (Article)](https://www.productcompass.pm/p/are-you-tracking-the-right-metrics) #### INTERVIEW PREPARATION - [Cracking Facebook (Meta) Product Case Interviews by Emma Ding (Video)](https://www.youtube.com/watch?v=JCNsI0TtNGw) - [LinkedIn Metric Interview Question and Answer (Video)](https://www.youtube.com/watch?v=JjA6hvmaK7I&ab_channel=EmmaDing) ##### [Go to Top](#top) -------------- ### <a id="tech-blogs"></a>10. TECH BLOGS #### COMPANY AI/ML BLOGS AND CASE STUDIES - [Airbnb AI & Machine Learning](https://lnkd.in/gzAXfQg5) - [Databricks Data Science & ML](https://lnkd.in/gRPE8Gbm) - [Google AI research applications](https://lnkd.in/gctN7Ths) - [NVIDIA Data Science](https://lnkd.in/ghzhBPnm) - [Apple Machine Learning Research](https://lnkd.in/gcJggDju) - [Stripe Machine Learning for Fraud Detection](https://lnkd.in/gKS4F-V3) - [Netflix Recommender System](https://lnkd.in/gm4pTRf4) - [Netflix Tech Blog](https://netflixtechblog.com/) - [Uber AI](https://lnkd.in/gXA8UEBU) - [X (aka Twitter)](https://lnkd.in/gNDME2-m) - [Pinterest Ads Recommender](https://lnkd.in/g8QXRH3i) - [Meta AI](https://lnkd.in/gGMp-Jh2) - [Microsoft ML](https://lnkd.in/gm-aSSP9) - [DoorDash Data Science and ML](https://careersatdoordash.com/engineering-blog/?category=AI%20%26%20ML) - [MongoDB AI](https://lnkd.in/g8c3HNaa) - [Amazon Machine Learning Blog](https://lnkd.in/g2Q3ZmEh) - [Grammarly NLP/ML](https://lnkd.in/guMDtPfW) - [Spotify Machine Learning](https://lnkd.in/gGq7uj9g) #### INDUSTRY CASE STUDIES & ARTICLES - [BSNL Story](https://bit.ly/3oKlVAV) - [Amul's Pandemic Strategy](https://bit.ly/3MWlUld) - [P & G Data Culture](https://bit.ly/3OXuRgT) - [Bad Loans at Banks](https://bit.ly/3oKmkmV) - [Burger King's Strategy](https://bit.ly/3CjYyRQ) - [AB InBev Automation](https://bit.ly/43PIlzi) - [Data Career in Insurance Industry](https://bit.ly/3MOk3yU) - [Ikea Case Study](https://bit.ly/3ChvnyD) - [PwC Using Analytics](https://bit.ly/3P2dewn) - [Data Science in Healthcare](https://bit.ly/43KANOn) - [Dashboard in Local Business](https://bit.ly/3CghrVt) - [Walmart Using Power BI](https://bit.ly/3oQJ4RY) - [Data Literacy at Starbucks](https://bit.ly/3P6Csdb) - [Efficiency Scoring in Business](https://bit.ly/43Nci2Z) - [Hospitality Insights](https://bit.ly/3DPBcoj) ##### [Go to Top](#top) -------------- ### <a id="podcasts"></a>10. PODCASTS #### YOUTUBE PLAYLISTS/PODCASTS - [Super Data Science: ML & AI Podcast (YouTube)](https://www.youtube.com/@SuperDataScienceWithJonKrohn) – Hosted by Jon Krohn, covering ML, AI, and career advice. - [Data Career Podcast](https://anchor.fm/datacareerpodcast) – How to transition into the data analytics field or get a job with no prior experience. - [Data Bytes](https://www.womenindata.org/podcast) – Bite-sized data stories, professional interviews, and current trends. - [Data Ideas Podcast](https://open.spotify.com/show/5pYsyJRoNStY1a6Ubw38v5?si=77c0959f2992402b) – Conversations with data professionals across various real-world topics. - [Data & Impact](https://podcasts.apple.com/us/podcast/data-impact-a-passion2knowledge-experience/id1431897021) – Analytics perspectives from a wide range of industry experts. - [Women in Data Science Worldwide](https://www.widsworldwide.org/get-inspired/podcasts/) – Advice and insights from top women leaders in data science. - [The Data Scientist Show (YouTube)](https://www.youtube.com/c/thedatascientistshow) – Career tips and technical insights from industry-leading data scientists and AI researchers. ##### [Go To Top](#top)