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Machine Learning with Python

Complete Machine Learning course covering Linear Regression, Logistic Regression, KNN, Decision Trees, SVM and XG Boost

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Machine Learning with Python

What you'll learn

Introduction to Python

Build a foundation for the most in-demand programming language. Learn how to use Python for Machine Learning

Application Based

Become job-ready with this application-based course. Apply what you learn and build real-life projects

Data Pre-Processing

Step by Step guide for data preparation covering outlier treatment, missing value imputation, variable transformation & correlation

Basic Machine Learning

Start you Machine Learning career with basic Linear Regression, Logistic Regression, LDA and KNN models

Advanced Machine Learning

Learn Advanced Machine Learning models such as Decision trees, Bagging, Boosting, XGBoost, Random Forest, SVM etc.

Our Happy Students!

Amazingly wonderful course , extremely intuitive and something that even online courses of MIT and brand colleges wont teach in depth.

5/5

Madhav Arora

This course is good for beginners of machine learners. They can learn how and when to use linear or logistic regression. The course is well-designed and suited well for data science learners.

5/5

Syed Habeeb Ullah Quadri

It gives more detailing for analysing the data . The theory explanation of the topics are too good. I would highly recommend this course for beginners.

4.5/5

Divyashree S

Course Instructors

Abhishek Bansal

Co-Founder, Instructor

Ex-Airtel, FMS Delhi, IIT Roorkee
Worked as an Acquisition Process owner in a leading telecom company before moving on to learning and teaching technologies like Machine Learning and Artificial Intelligence.

Pukhraj Parikh

Co-Founder, Instructor

Ex-EXL, IIM Ahmedabad, IIT Roorkee
Worked as a Project manager in an Analytics consulting firm. Pukhraj has multiple years of experience working on analytics tools and software.

Course Completion Certificate‚Äč

Once you successfully complete the course, Start-Tech Academy will provide you with an industry-recognized course completion certificate

Still confused? Download the complete course syllabus

ML Py- Desc

Course Content

Course Content

Setting up Python and Jupyter Notebook
Basics of Statistics
Introduction to Machine Learning
Data Preprocessing
Linear Regression
Classification Models: Data Preparation
The Three classification models
Logistic Regression
Linear Discriminant Analysis (LDA)
K-Nearest Neighbors classifier
Comparing results from 3 models
Simple Decision Trees
Simple Classification Tree
Ensemble technique 1 – Bagging
Ensemble technique 2 – Random Forests
Ensemble technique 3 – Boosting
Maximum Margin Classifier
Support Vector Classifier
Support Vector Machines
Creating Support Vector Machine Model in Python
Introduction

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