Machine Learning
4.0
(5)
46 learners
What you'll learn
This course includes
- 18 hours of video
- Certificate of completion
- Access on mobile and TV
Course content
1 modules • 130 lessons • 18 hours of video
Machine Learning
130 lessons
• 18 hours
Machine Learning
130 lessons
• 18 hours
- Overfitting and Underfitting Explained with Examples in Hindi ll Machine Learning Course09:16
- Feature Selection Techniques Explained with Examples in Hindi ll Machine Learning Course13:01
- MultiClass Classification Approaches ll One Vs All and One Vs One Classification Explained in Hindi10:49
- Confusion Matrix ll Accuracy,Error Rate,Precision,Recall Explained with Solved Example in Hindi08:22
- Data Science Life Cycle Explained in Hindi07:38
- Curse Of Dimensionality Explained with Examples in Hindi ll Machine Learning Course11:46
- Managing Missing Features Explained with Examples in Hindi ll Machine Learning Course10:36
- Managing Categorical Data Explained with Examples in Hindi ll Machine Learning Course11:22
- Linear Regression Explained in Hindi ll Machine Learning Course14:20
- Logistic Regression Explained in Hindi11:46
- Polynomial Regression Explained in Hindi ll Machine Learning Course10:14
- Ridge Regression Explained in Hindi ll Machine Learning Course11:10
- Conditional Probability Explained with Solved Example and Sample Space in Hindi08:36
- Naive Bayes Classifier ll Data Mining And Warehousing Explained with Solved Example in Hindi10:48
- Elbow method Explained with Example in Hindi08:49
- Back Propagation Algorithm /Back Propagation Of Error (Part-1)Explained With Solved Example in Hindi09:54
- Back Propagation Algorithm (Part-2) Explained with Solved Example in Hindi09:10
- Back Propagation Algorithm (Part-3) Explained With Solved Example in Hindi08:29
- Back Propagation Algorithm (Part-4) Explained with Solved Example in Hindi05:14
- Recurrent Neural Network (RNN) Part-1 Explained in Hindi06:55
- Recurrent Neural Network (RNN) Part-2 Explained in Hindi05:26
- What is Sampling Explained in Hindi | Data Science05:27
- Sampling Techniques : Random, Systematic and Stratified Explained in Hindi | Data Science06:49
- Point Estimate and Interval Estimate Explained in Hindi05:10
- Confidence Interval Explained in Hindi with a Solved Example05:46
- Margin of Error (MOE) Explained in Hindi with Solved Example03:21
- Mean Squared Error (MSE) Explained in Hindi05:23
- R Squared Explained in Hindi06:47
- R Squared Numerical Example Explained in Hindi04:53
- Random State Explained in Hindi | Machine Learning08:46
- Flattening Explained in Hindi l Neural Network04:55
- Fine Tuning Vs RAG (Retrieval Augmented Generation) | When to Use What Explained in Hindi 08:39
- Introduction To Machine Learning ll Machine Learning Course Explained With RealLife Examples (Hindi)12:01
- Classic Machine And Adaptive Machine ll Machine Learning Course Explained in Hindi06:58
- Basics Of Training And Testing Phase ll Machine Learning Course Explained in Hindi10:04
- Basics Of Principal Component Analysis Part-1 Explained in Hindi ll Machine Learning Course09:07
- Principal Component Analysis(PCA) Part-2 Explained with Solved Example in Hindi l Machine Learning12:46
- Principal Component Analysis Part-3 Explained with Solved Example in Hindi l Machine Learning08:53
- Principal Component Analysis Part-4 Explained with Solved Example in Hindi | Machine Learning Course05:30
- Regression Analysis l Dependent And Independent Variables (HINDI)05:31
- Linear Regression And Logistic Regression Explained in HINDI06:27
- Lasso Regression Explained in Hindi ll Machine Learning Course05:57
- Elastic Net Regression Explained in Hindi ll Machine Learning Course04:35
- Bayes Theorem Explained with Solved Example in Hindi ll Machine Learning Course11:08
- Naive Bayes Variants : Bernoulli Naive Bayes l Bernoulli Distribution Explained in Hindi07:24
- Naive Bayes Variants : Multinomial Naive Bayes l Multinomial Distribution Explained in Hindi08:42
- Naive Bayes Variants : Gaussian Naive Bayes Explained in Hindi05:24
- Support Vector Machine (SVM) Part-1 ll Machine Learning Course Explained in Hindi07:48
- Support Vector Machine (SVM) Part-2 ll Machine Learning Course Explained in Hindi07:20
- Non-Linear Support Vector Machine (SVM) And Kernel Function ll Machine Learning Course in Hindi06:28
- Decision Tree Algorithm Part-1 Explained With Example ll DMW ll ML Easiest Explanation Ever in Hindi08:49
- Decision Tree Algorithm Part-2 ll Constructing of Decision Tree ll ML ll DMW Explained in Hindi06:42
- Ensemble Learning l Machine Learning Course Easiest Explanation Ever in Hindi07:12
- Ensemble Method : Bagging (Bootstrap Aggregation) l Machine Learning Course in Hindi06:42
- Ensemble Method : Boosting ll Machine Learning Course Explained in Hindi09:32
- Voting Classifier : Hard Voting and Soft Voting Explained with Examples in Hindi ll Machine Learning08:35
- Random Forest Step-Wise Explanation ll Machine Learning Course Explained in Hindi11:27
- DBSCAN (Density Based Spatial Clustering Of Applications with Noise) ll Machine Learning (Hindi)12:28
- K means Clustering Algorithm Explained With an Example Easiest And Quickest Way Ever In Hindi07:25
- Hierarchical Clustering : Agglomerative Clustering and Divisive Clustering Explained in Hindi07:11
- Agglomerative Clustering (Single Linkage) Part-1 Explained with Solved Example in Hindi11:21
- Agglomerative Clustering (Single Linkage) Part-2 Explained with Solved Example in Hindi07:48
- Agglomerative Clustering (Complete Linkage) Explained with Solved Example in Hindi09:31
- Recommendation System : Content Based Recommendation and Collaborative Filtering Explained in Hindi08:23
- Data in Machine Learning Explained in Hindi07:06
- How Much Data Do I Need in Machine learning Explained in Hindi08:45
- Bias and Variance Explained in Hindi l Machine Learning Course07:52
- Bias-Variance Trade-Off Explained in Hindi l Machine Learning Course08:49
- Linear Regression Solved Numerical Part-1 Explained in Hindi l Machine Learning Course06:56
- Linear Regression Solved Numerical Part-2 Explained in Hindi l Machine Learning Course05:35
- Loading Data Using Pandas Explained in Hindi l Machine Learning Course08:20
- Understanding Data Using Statistics Explained in Hindi l Machine Learning Course06:35
- Visualization of Data Using Matplotlib Part-1 Explained in Hindi l Machine Learning Course11:57
- Visualization of Data Using Matplotlib Part-2 Explained in Hindi l Machine Learning Course11:58
- Data Preprocessing Techniques : Normalization Explained with Python in Hindi l Machine Learning03:58
- Data Preprocessing Techniques : Standardization Explained with Python in Hindi l Machine Learning02:59
- Data Preprocessing Techniques : Binarization Explained with Python in Hindi l Machine Learning02:55
- Training and Testing data Explained in Hindi with Python in Hindi l Machine Learning Course07:30
- Linear Regression Single Variable Explained with Python in Hindi l Machine Learning Course10:21
- Linear Regression Multiple Variables Explained with Python in Hindi l Machine Learning Course09:05
- Logistic Regression Explained with Python in Hindi l Machine Learning Course08:53
- K Means Clustering Implementation with Python Part-1 Explained in Hindi l Machine Learning Course07:29
- K Means Clustering Implementation with Python Part-2 Explained in Hindi l Machine Learning Course07:36
- Learn Machine Learning From Scratch06:00
- Time Series Kya hota hai l Machine Learning08:29
- What is Statistics and its Types Explained in Hindi06:17
- Mean, Median and Mode Explained with Example in Hindi | Statistics Series07:36
- What is Feature Engineering Explained in Hindi with Examples | Machine Learning07:45
- Precision and Recall Explained in Hindi l Machine Learning08:44
- ROC Curve Part-1 Explained in Hindi l Machine Learning Course10:01
- AUC (Area Under the Curve) Explained in Hindi l ROC AUC l Machine Learning Course09:57
- F1 Score Explained in Hindi l Machine Learning Course06:13
- Accuracy Vs F1 Score Explained with Example in Hindi l Machine Learning Course07:20
- Specificity and Sensitivity Explained with Example in Hindi l Machine Learning Course06:45
- Univariate, Bivariate and Multivariate Analysis Explained in Hindi l Machine Learning Course12:32
- Hypothesis Testing Explained with Solved Numerical in Hindi l Machine Learning Course13:56
- Hypothesis Testing Solved Numerical 2 l Z test l Explained in Hindi l Machine Learning Course07:43
- One Tailed Test Vs Two Tailed Test Explained in Hindi l Machine Learning Course10:35
- Hypothesis testing T test l Left tailed test explained with example (Hindi) Machine Learning Course05:12
- Hypothesis Testing T test l Right Tailed Test Explained with Solved Numerical in Hindi05:19
- T test (Two Tailed test) Explained with Example (Hindi) l Hypothesis Testing l Machine Learning05:50
- Accuracy_score and Score Explained in Hindi l Machine Learning11:32
- Leave P Out and Leave One Out Cross Validation Explained in Hindi l Machine Learning Course07:14
- K-medoids Clustering Algorithm Explained with Solved Numerical in Hindi l Machine Learning Course10:52
- Covariance Explained with Solved Example in Hindi l Machine Learning Course06:38
- Learning Rate Explained in Hindi l Machine Learning Course07:51
- Chi-Square Test Explained with Solved Numerical in Hindi l Machine Learning Course10:32
- One Hot Encoding Vs Label Encoding Explained with Example in Hindi l Machine Learning Course07:50
- Outliers Explained in Hindi l Machine Learning Course06:05
- Mean Absolute Error(MAR) l Mean Squared Error(MSE) l Root Mean Squared Error (RMSE) in Hindi09:45
- What is Skewness Explained in Hindi l Machine Learning Course l Statistics08:31
- What is Kurtosis Explained in Hindi | Machine Learning Course | Statistics07:31
- Ordinal Encoding Explained with Examples in Hindi | Machine Learning Course05:22
- Interquartile Range (IQR) and Outliers Explained in Hindi l Machine Learning Course l Statistics08:41
- Single Linkage Clustering Explained with Solved Numerical in Hindi | Machine Learning Course10:31
- Complete Linkage Clustering Explained with Solved Numerical in Hindi | Machine Learning Course10:59
- K-Nearest Neighbor Classification ll KNN Classification Explained with Solved Example in Hindi07:58
- K-Nearest Neighbor Regression | KNN Regression Intuition Explained (Hindi) | Machine Learning Course06:50
- K-Nearest Neighbor Regression | KNN Regression Explained with Solved Numerical in Hindi05:51
- How to find the value of K in KNN Algorithm | Explained in Hindi | Machine Learning Course09:16
- Confusion Matrix for Multi-Class Classification Explained in Hindi | Machine Learning Course10:40
- Kmeans++ Clustering Explained in Hindi | Machine Learning Course09:20
- Sum of Squares | SST, SSR, SSE Explained in Hindi | Machine Learning Course09:38
- Logistic Regression Explained with Detailed Solved Numerical in Hindi | Machine Learning Course10:22
- Multiple Dependent Variables Explained with Detailed Solved Numerical in Hindi | Machine Learning11:18
- Multiple Linear Regression Explained with Solved Numerical in Hindi | Machine Learning Course07:46
- Linear Regression using Least Squares Method Explained with Solved Numerical(Hindi) Machine Learning09:21
- Naive Bayes Classifier Algorithm Explained with Solved Numerical in Hindi | Machine Learning Course09:46
- Feature Scaling in Machine Learning Explained in Hindi 08:10
- Model Complexity Vs Error Explained in Hindi | Overfitting & Underfitting 11:33
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