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Internship on Machine Learning (Python)

Language: English

Instructors: Nandhini S

Validity Period: 90 days

₹2800 17.86% OFF

₹2300 including GST

Why this course?


About the Machine Learning Course

Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence. A lot of opportunities are out there in the field of ml and AI in India. People already using machine learning in fields of image processing, pattern analysis, marketing, data analysis have a pretty good future in India. The Machine Learning workshop provides the participants technical training on the concepts and Machine Learning algorithms to develop the code. Participants will also learn to use different Python libraries. Instruction cum aided with live projects which will allow students to grasp concepts of the complete machine learning development life cycle.


Day 1- Python Programming – Fundamentals

Day 2- Python – Tools | Syntaxes & Data Structures

Day 3- Machine Learning Course Concepts

Day 4- Pandas Library - Introduction

Day 5- Pandas – Data Structures

Day 6- NumPy library - Array Operations | Mathematical Functions

Day 7- NumPy - Sort, Search, and Counting Functions | Byte Swapping

Day 8- Matplotlib, Histogram Using Matplotlib | I/O With NumPy

Day 9- Matplotlib Library - Introduction, Py plot API | Types Of Plots

Day 10- Seaborn Library

Day 11- Sklenar Library

Day 12- Google Collab Notebook

Day 13- Data Preparation & Visualization

Day 14- Data Normalization Techniques

Day 15- Introduction to supervised learning algorithms.

Day 16-Liver Disease Prediction – Logistic Regression

Day 17-Flower Species Identification – SVM Algorithm.

Day 18-Fake news detection – Naïve Baye’s

Day 19-Android malware - Decision tree Algorithm.

Day 20- Creditcard Fraud detection – Random Forest Algorithm

Day 21- Employee Salary Prediction - Linear Regression Algorithm

Day 22- Advertisement and Sales Prediction – Multiple Linear Regression Algorithm.

Day 23- Agriculture Price Prediction – Random Forest Regression.

Day 24- Flower Species Data Visualization - PCA

Day 25- Market Basket Analysis - APRIARI

Day 26- Hate Speech Detection - NLTK

Day 27 – Loan Prediction Problem - XGBoost

Day 28-Movie Review Classification- RNN

Day 29-Digits Classification - CNN

Day 30-AI – Cart Pole – Reinforcement Learning



Course Curriculum

How to Use

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