Machine Learning (Hindi) (Part 2)

   Friday, October 18, 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 58: Understanding Data Using Statistics Explained in Hindi l Machine Learning Course

Lecture 59: Visualization of Data Using Matplotlib Part-1 Explained in Hindi l Machine Learning Course

Lecture 60: Visualization of Data Using Matplotlib Part-2 Explained in Hindi l Machine Learning Course

Lecture 61: Data Preprocessing Techniques : Normalization Explained with Python in Hindi l Machine Learning

Lecture 62: Data Preprocessing Techniques : Standardization Explained with Python in Hindi l Machine Learning

Lecture 63: Data Preprocessing Techniques : Binarization Explained with Python in Hindi l Machine Learning

Lecture 64: Training and Testing data Explained in Hindi with Python in Hindi l Machine Learning Course

Lecture 65: Linear Regression Single Variable Explained with Python in Hindi l Machine Learning Course

Lecture 66: Linear Regression Multiple Variables Explained with Python in Hindi l Machine Learning Course

Lecture 67: Logistic Regression Explained with Python in Hindi l Machine Learning Course

Lecture 68: K Means Clustering Implementation with Python Part-1 Explained in Hindi l Machine Learning Course

Lecture 69: K Means Clustering Implementation with Python Part-2 Explained in Hindi l Machine Learning Course

Lecture 70: Learn Machine Learning From Scratch

Lecture 71: Time Series Kya hota hai l Machine Learning

Lecture 72: What is Statistics and its Types Explained in Hindi

Lecture 73: Mean, Median and Mode Explained with Example in Hindi | Statistics Series

Lecture 74: What is Feature Engineering Explained in Hindi with Examples | Machine Learning

Lecture 75: Data Science Life Cycle Explained in Hindi

Lecture 76: What is Sampling Explained in Hindi | Data Science

Lecture 77: Sampling Techniques : Random, Systematic and Stratified Explained in Hindi | Data Science

Lecture 78: Point Estimate and Interval Estimate Explained in Hindi

Lecture 79: Confidence Interval Explained in Hindi with a Solved Example

Lecture 80: Margin of Error (MOE) Explained in Hindi with Solved Example

Lecture 81: Mean Squared Error (MSE) Explained in Hindi

Lecture 82: R Squared Explained in Hindi

Lecture 83: R Squared Numerical Example Explained in Hindi

Lecture 84: Random State Explained in Hindi | Machine Learning

Lecture 85: Flattening Explained in Hindi l Neural Network

Lecture 86: Elbow method Explained with Example in Hindi

Lecture 87: Precision and Recall Explained in Hindi l Machine Learning

Lecture 88: ROC Curve Part-1 Explained in Hindi l Machine Learning Course

Lecture 89: AUC (Area Under the Curve) Explained in Hindi l ROC AUC l Machine Learning Course

Lecture 90: F1 Score Explained in Hindi l Machine Learning Course

Lecture 91: Accuracy Vs F1 Score Explained with Example in Hindi l Machine Learning Course

Lecture 92: Specificity and Sensitivity Explained with Example in Hindi l Machine Learning Course

Lecture 93: Univariate, Bivariate and Multivariate Analysis Explained in Hindi l Machine Learning Course

Lecture 94: Hypothesis Testing Explained with Solved Numerical in Hindi l Machine Learning Course

Lecture 95: Hypothesis Testing Solved Numerical 2 l Z test l Explained in Hindi l Machine Learning Course

Lecture 96: One Tailed Test Vs Two Tailed Test Explained in Hindi l Machine Learning Course

Lecture 97: Hypothesis testing T test l Left tailed test explained with example (Hindi) Machine Learning Course

Lecture 98: Hypothesis Testing T test l Right Tailed Test Explained with Solved Numerical in Hindi

Lecture 99: T test (Two Tailed test) Explained with Example (Hindi) l Hypothesis Testing l Machine Learning

Lecture 100: Accuracy_score and Score Explained in Hindi l Machine Learning

Lecture 101: Leave P Out and Leave One Out Cross Validation Explained in Hindi l Machine Learning Course

Lecture 102: K-medoids Clustering Algorithm Explained with Solved Numerical in Hindi l Machine Learning Course

Lecture 103: Covariance Explained with Solved Example in Hindi l Machine Learning Course

Lecture 104: Learning Rate Explained in Hindi l Machine Learning Course

Lecture 105: Chi-Square Test Explained with Solved Numerical in Hindi l Machine Learning Course

Lecture 106: One Hot Encoding Vs Label Encoding Explained with Example in Hindi l Machine Learning Course

Lecture 107: Outliers Explained in Hindi l Machine Learning Course

Lecture 108: Mean Absolute Error(MAR) l Mean Squared Error(MSE) l Root Mean Squared Error (RMSE) in Hindi

Lecture 109: What is Skewness Explained in Hindi l Machine Learning Course l Statistics

Lecture 110: What is Kurtosis Explained in Hindi | Machine Learning Course | Statistics

Lecture 111: Ordinal Encoding Explained with Examples in Hindi | Machine Learning Course

Lecture 112: Interquartile Range (IQR) and Outliers Explained in Hindi l Machine Learning Course l Statistics