Machine Learning Algorithms in Python (With Demo) (English)

   Tuesday, December 23, 2025   

Starting a new Lecture Notes Series on Machine Learning Algorithms in Python (With Demo)

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Machine Learning Algorithms in Python (With Demo) By Lecture Notes together!

Lecture 1: Logistic Regression in Python | Logistic Regression Example | Machine Learning Algorithms | Edureka

Lecture 2: Linear Regression Algorithm | Linear Regression in Python | Machine Learning Algorithm | Edureka

Lecture 3: Machine Learning Crash Course-2 Hours | Learn Machine Learning | Machine Learning Tutorial | Edureka

Lecture 4: Top 10 Books for Machine Learning in 2021 | Best ML Books for Beginners And Advanced | Edureka

Lecture 5: Decision Tree Algorithm | Decision Tree in Python | Machine Learning Algorithms | Edureka

Lecture 6: K Means Clustering Algorithm | K Means Example in Python | Machine Learning Algorithms | Edureka

Lecture 7: Naive Bayes Classifier in Python | Naive Bayes Algorithm | Machine Learning Algorithm | Edureka

Lecture 8: KNN Algorithm using Python | How KNN Algorithm works | Python Data Science Training | Edureka

Lecture 9: Time Series Analysis in Python | Time Series Forecasting | Data Science with Python | Edureka

Lecture 10: Data Science vs Machine Learning – What’s The Difference? | Data Science Course | Edureka

Lecture 11: Twitter Sentiment Analysis | Sentiment Analysis In Python Using Tweepy and Textblob | Edureka

Lecture 12: A Quick Guide To Sentiment Analysis | Sentiment Analysis In Python Using Textblob | Edureka

Lecture 13: Supervised vs Unsupervised vs Reinforcement Learning | Data Science Certification Training | Edureka

Lecture 14: Reinforcement Learning Tutorial | Reinforcement Learning Example Using Python | Edureka

Lecture 15: Q Learning Explained | Reinforcement Learning Using Python | Q Learning in AI | Edureka

Lecture 16: Machine Learning With Python | Machine Learning Myth Busted | Python Training | Edureka

Lecture 17: Python Projects For Beginners | Python Projects Examples | Python Tutorial | Edureka

Lecture 18: Probabilistic Graphical Models (PGMs) In Python | Graphical Models Tutorial | Edureka

Lecture 19: Machine Learning Basics | What Is Machine Learning? | Introduction To Machine Learning | Edureka

Lecture 20: Machine Learning Projects | Machine Learning Project Ideas For Beginners | Edureka

Lecture 21: E & ICT Academy NIT Warangal Partners with edureka! | Post-Graduate Program in AI & Machine Learning

Lecture 22: Artificial Intelligence Full Course | Artificial Intelligence Tutorial for Beginners | Edureka

Lecture 23: Apriori Algorithm Explained | Association Rule Mining | Finding Frequent Itemset | Edureka

Lecture 24: Boosting Machine Learning Tutorial | Adaptive Boosting, Gradient Boosting, XGBoost | Edureka

Lecture 25: Data Science and Machine Learning for Non Programmers | Data Science for Beginners | Edureka

Lecture 26: Top Machine Learning Tools and Frameworks for Beginners | Machine Learning Tutorial | Edureka

Lecture 27: Best Python Libraries For Data Science & Machine Learning | Data Science Python Libraries | Edureka

Lecture 28: Machine Learning Full Course - Learn Machine Learning 10 Hours | Machine Learning Tutorial | Edureka

Lecture 29: Machine Learning in 10 Minutes | What is Machine Learning | Machine Learning for Beginners | Edureka

Lecture 30: Classification in Machine Learning | Machine Learning Tutorial | Python Training | Edureka

Lecture 31: Hill Climbing Algorithm | Hill Climbing in Artificial Intelligence | Data Science Tutorial | Edureka

Lecture 32: Find-S Algorithm in Machine Learning | Machine Learning Algorithms | Edureka

Lecture 33: Cross-Validation In Machine Learning | ML Fundamentals | Machine Learning Tutorial | Edureka

Lecture 34: EM Algorithm In Machine Learning | Expectation-Maximization | Machine Learning Tutorial | Edureka

Lecture 35: Mathematics for Machine Learning [Full Course] | Essential Math for Machine Learning | Edureka

Lecture 36: Bias-Variance In Machine Learning | Bias Variance Trade Off | Machine Learning Training | Edureka

Lecture 37: Future of AI/ML | Rise Of Artificial Intelligence & Machine Learning | AI and ML Training | Edureka

Lecture 38: COVID - 19 Outbreak Prediction using Machine Learning | Machine Learning Training | Edureka

Lecture 39: AIML Facemask Detector | Mask Detection Using OpenCV Python | Data Science Training | Edureka

Lecture 40: Fake Job Listing Detection Tutorial | Python Projects | Data Science Training | Edureka

Lecture 41: Climate Change Prediction Using Time Series Analysis | Python Projects | Python Training | Edureka

Lecture 42: Plant Leaf Disease Detection GUI | Machine Learning Projects 1 | Machine Learning Training | Edureka

Lecture 43: House Price Prediction using ML | Machine Learning Projects 2 | Machine Learning Training | Edureka

Lecture 44: Emoji Prediction using LSTM | Machine Learning Projects 3 | Machine Learning Training | Edureka

Lecture 45: Machine Learning Roadmap | How to become a Machine Learning Engineer | ML Engineer | Edureka

Lecture 46: Machine Learning Full Course - 12 Hours | Machine Learning Roadmap [2024] | Edureka

Lecture 47: Naive Bayes Classifier Explained | Naive Bayes Algorithm | Edureka | Machine Learning Rewind