Machine Learning (Hindi) (Part 1)

   Wednesday, November 13, 2024   

Starting a new Lecture Notes Series on Machine Learning

Youtube Lecture Playlist Credits 

Channel Name: 5 Minutes Engineering

So Let Us Start to This Journey of Learning 

Machine Learning By Lecture Notes together!

Lecture 1: Introduction To Machine Learning ll Machine Learning Course Explained With RealLife Examples (Hindi)

Lecture 2: Classic Machine And Adaptive Machine ll Machine Learning Course Explained in Hindi

Lecture 3: Basics Of Training And Testing Phase ll Machine Learning Course Explained in Hindi

Lecture 4: Overfitting and Underfitting Explained with Examples in Hindi ll Machine Learning Course

Lecture 5: Feature Selection Techniques Explained with Examples in Hindi ll Machine Learning Course

Lecture 6: MultiClass Classification Approaches ll One Vs All and One Vs One Classification Explained in Hindi

Lecture 7: Basics Of Principal Component Analysis Part-1 Explained in Hindi ll Machine Learning Course

Lecture 8: Principal Component Analysis(PCA) Part-2 Explained with Solved Example in Hindi l Machine Learning

Lecture 9: Principal Component Analysis Part-3 Explained with Solved Explained in Hindi l Machine Learning

Lecture 10: Regression Analysis l Dependent And Independent Variables (HINDI)

Lecture 11: Linear Regression And Logistic Regression Explained in HINDI

Lecture 12: Confusion Matrix ll Accuracy,Error Rate,Precision,Recall Explained with Solved Example in Hindi

Lecture 13: Curse Of Dimensionality Explained with Examples in Hindi ll Machine Learning Course

Lecture 14: Managing Missing Features Explained with Examples in Hindi ll Machine Learning Course

Lecture 15: Managing Categorical Data Explained with Examples in Hindi ll Machine Learning Course

Lecture 16: Linear Regression Explained in Hindi ll Machine Learning Course

Lecture 17: Logistic Regression Explained in Hindi

Lecture 18: Polynomial Regression Explained in Hindi ll Machine Learning Course

Lecture 19: Ridge Regression Explained in Hindi ll Machine Learning Course

Lecture 20: Lasso Regression Explained in Hindi ll Machine Learning Course

Lecture 21: Elastic Net Regression Explained in Hindi ll Machine Learning Course

Lecture 22: Conditional Probability Explained with Solved Example and Sample Space in Hindi

Lecture 23: Bayes Theorem Explained with Solved Example in Hindi ll Machine Learning Course

Lecture 24: Naive Bayes Classifier ll Data Mining And Warehousing Explained with Solved Example in Hindi

Lecture 25: Back Propagation Algorithm /Back Propagation Of Error (Part-1)Explained With Solved Example in Hindi

Lecture 26: Back Propagation Algorithm (Part-2) Explained with Solved Example in Hindi

Lecture 27: Back Propagation Algorithm (Part-3) Explained With Solved Example in Hindi

Lecture 28: Back Propagation Algorithm (Part-4) Explained with Solved Example in Hindi

Lecture 29: Naive Bayes Variants : Bernoulli Naive Bayes l Bernoulli Distribution Explained in Hindi

Lecture 30: Naive Bayes Variants : Multinomial Naive Bayes l Multinomial Distribution Explained in Hindi

Lecture 31: Naive Bayes Variants : Gaussian Naive Bayes Explained in Hindi

Lecture 32: Support Vector Machine (SVM) Part-1 ll Machine Learning Course Explained in Hindi

Lecture 33: Support Vector Machine (SVM) Part-2 ll Machine Learning Course Explained in Hindi

Lecture 34: Non-Linear Support Vector Machine (SVM) And Kernel Function ll Machine Learning Course in Hindi

Lecture 35: Decision Tree Algorithm Part-1 Explained With Example ll DMW ll ML Easiest Explanation Ever in Hindi

Lecture 36: Decision Tree Algorithm Part-2 ll Constructing of Decision Tree ll ML ll DMW Explained in Hindi

Lecture 37: Ensemble Learning l Machine Learning Course Easiest Explanation Ever in Hindi

Lecture 38: Ensemble Method : Bagging (Bootstrap Aggregation) l Machine Learning Course in Hindi

Lecture 39: Ensemble Method : Boosting ll Machine Learning Course Explained in Hindi

Lecture 40: Voting Classifier : Hard Voting and Soft Voting Explained with Examples in Hindi ll Machine Learning

Lecture 41: Random Forest Step-Wise Explanation ll Machine Learning Course Explained in Hindi

Lecture 42: DBSCAN (Density Based Spatial Clustering Of Applications with Noise) ll Machine Learning (Hindi)

Lecture 43: K means Clustering Algorithm Explained With an Example Easiest And Quickest Way Ever In Hindi

Lecture 44: Hierarchical Clustering : Agglomerative Clustering and Divisive Clustering Explained in Hindi

Lecture 45: Agglomerative Clustering (Single Linkage) Part-1 Explained with Solved Example in Hindi

Lecture 46: Agglomerative Clustering (Single Linkage) Part-2 Explained with Solved Example in Hindi

Lecture 47: Agglomerative Clustering (Complete Linkage) Explained with Solved Example in Hindi

Lecture 48: Recommendation System : Content Based Recommendation and Collaborative Filtering Explained in Hindi

Lecture 49: Data in Machine Learning Explained in Hindi

Lecture 50: How Much Data Do I Need in Machine learning Explained in Hindi

Lecture 51: Bias and Variance Explained in Hindi l Machine Learning Course

Lecture 52: Bias-Variance Trade-Off Explained in Hindi l Machine Learning Course

Lecture 53: Linear Regression Solved Numerical Part-1 Explained in Hindi l Machine Learning Course

Lecture 54: Linear Regression Solved Numerical Part-2 Explained in Hindi l Machine Learning Course

Lecture 55: Recurrent Neural Network (RNN) Part-1 Explained in Hindi

Lecture 56: Recurrent Neural Network (RNN) Part-2 Explained in Hindi

Lecture 57: Loading Data Using Pandas Explained in Hindi l Machine Learning Course