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Installation
0/3
How to install Python on Windows 7/8.1/10
04:56
How to install Anaconda in Windows 7/8.1/10
02:53
How to Launch Jupyter Notebook Using Anaconda
01:34
Linear Regression
0/7
Topic Files
00:08
How To Import Libraries and Dataset for Linear Regression
12:59
Distribution Plot For Linear Regression
08:46
How To Use Label Encoder and Heatmap
08:30
How To Use Train Test and Split For Linear Regression
08:06
Linear Regression Model Creation and Model Training
06:23
Linear Regression Model Evaluation
06:00
Logistic Regression
0/7
Topic Files
00:08
How To Import libraries and dataset for Logistic Regression
08:52
Imputing Null Values
09:03
Plotting For Logistic Regression
05:23
How To Do The Pre-Processing For Logistic Regression
08:07
How To Use Train, Test and Split For Logistic Regression
06:49
How To Create Logistic Model and Model Evaluation
07:44
Decision Tree and Random Forest
0/9
Topic Files
00:08
How To Import Libraries and Dataset
07:19
EDA (Exploratory Data Analysis) and Count Plot
10:10
How To Do The Pre-Processing
06:28
How To Use Train, Test and Split
05:43
How to Create Logistic Model and Logistic Model Evaluation
07:38
Decision Tree Entropy Model
06:35
Decision Tree Gini Model
03:49
Random Forest Model
09:15
Naive Bayes
0/5
Topic Files
00:08
How To Import Libraries and Dataset
07:04
Distribution Plot and EDA for Naive Bayes
07:02
How To Use Train, Test, Split and Logistic Model
07:34
Naive Bayes Model
04:02
K-Means Cluster
0/5
Topic Files
00:08
How To Import Libraries and Dataset
05:17
Plotting and EDA For K-Means Cluster
03:49
Finding K and Elbow method for K-means Cluster
12:55
How Get Cluster Centers and Plotting
07:13
K-Nearest Neighbor(KNN)
0/6
Topic Files
00:08
How To Import Libraries and Dataset
12:04
Distribution Plot and EDA For KNN
06:23
How To Use Train, Test and Split
04:18
How To Create KNN Model and Model Evaluation
07:07
How To Find K Optimum for KNN
11:55
Support Vector Machine (SVM)
0/6
Topic Files
00:08
How To Import Libraries, Dataset and Pre-Processing
07:08
Distribution Plot and EDA For SVM
05:20
How To Use Train, Test and Split the dataset
03:58
How to Create Logistic Model and Logistic Model Evaluation
04:42
Creating a Support Vector Machine and Model Evaluation
07:46
Assignments
0/1
Assignments
Quiz
0/1
Machine Learning Quiz
05:00
Machine Learning
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