Machine Learning Machine Learning Python Case Study - Predictive Modeling

Machine Learning Python Case Study - Predictive Modeling

Catalog: Machine Learning
Short name: ML with PredIctive modeling - 2023
Course start date: 2024-07-02
Paystack
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Description

This case study examines predictive modelling using machine learning.

Course Duration:-8h 3m

Sections

General
0 activities

Introduction to Predictive Modelling with Python
Installation
Data Preproccessing
Dataframe
Imputer
Create Dumies
Splitting Dataset
Features Scaling
Introduction to Linear Regression
Estimated Regression Model
Import the Library
Plot
Tip Example
Print Function
Introduction to Salary Dataset
Fitting Linear Regression
Fitting Linear Regression Continue
Prediction from the Model
Prediction from the Model Continue
Introduction to Multiple Linear Regression
Creating Dummies
Removing one Dummy and Splitting Dataset
Training Set and Predictions
Stats Models to Make Optimal Model
Steps to Make Optimal Model
Making Optimal Model by Backward Elimination
Adjusted R Square
Final Optimal Model Implementation
Introduction to Jupyter Notebook
Understanding Dataset and Problem Statement
Working with Correlation Plots
Working with Correlation Plots Continue
Correlation Plot and Splitting Dataset
MLR Model with Sklearn and Predictions
MLR model with Statsmodels and Predictions
Getting Optimal model with Backward Elimination Approach
RMSE Calculation and Multicollinearity Theory
VIF Calculation
VIF and Correlation Plots
Introduction to Logistic Regression
Understanding Problem Statement and Splitting
Scaling and Fitting Logistic Regression Model
Prediction and Introduction to Confusion Matrix
Confusion Matrix Explanation
Checking Model Performance using Confusion Matrix
Plots Understanding
Plots Understanding Continue
Introduction and data Preprocessing
Fitting Model with Sklearn Library
Fitting Model with Statmodel Library
Using Statsmodel Package
Backward Elimination Approach
Backward Elimination Approach Continue
More on Backward Elimination Approach
Final Model
ROC Curves
Threshold Changing
Final Predictions
Intro to Credit Risk
Label Encoding
Gender Variable
Dependents and Educationvariable
Missing Values Treatment in Self Employed Variable
Outliers Treatment in ApplicantIncome Variable
Missing Values
Property Area Variable
Splitting Data
Final Model and Area under ROC Curve
Course Certificate
Secure Video
68
Certificate
1
Cost: 5000
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Course Duration:-8h 3m