divya-rathi / 100-Days-of-ML

Machine Learnning

100-Days-of-ML

100 Days of Machine Learning

Data PreProcessing | Day 1

Check out the code here.

Step 1: Importing the required Libraries.
Step 2: Importing the Data Set.
Step 3: Handling the Missing Data.
Step 4: Encoding Categorical Data.
Step 5: Splitting the dataset into test set and training set.
Step 6: Feature Scaling.

Simple Linear Regression | Day 2

Check out the code here.

Step 1: PreProcess the data.
Step 2: Fitting Simple Linear Regression model to the training set.
Step 3: Predicting the result.
Step 4: Visualization.

Multiple Linear Regression | Day 3

Check out the code here

Step 1: PreProcess the data.
Step 2: Fitting Multiple Linear Regression model to the training set.
Step 3: Predicting the result.