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Machine Learning Internship Course
1. Introduction to Python
In this section, we will learn about the background and importance of this language.
2. Basics of Python
In this section, we cover the basic concepts and fundamentals necessary to learn Python
3. Python Advanced
Learn core of Python,including intermediate-advanced patterns and concepts.
4. Data Analysis with Pandas
Learn Pandas, a very popular python library used for data analysis.
5. Introduction to Machine Learning
Understand the importance of Machine Learning and how we use it in our daily tasks
6. Machine Learning Algorithms
Learn how to write ML algorithms and write codes to make programs more intelligent.
7. Machine Learning Implementations
Implement ML algorithms on a set of data to recognize and analyse programs
8. Natural Language Processing
Get introduced to NLP,which enables connection between machines and humans
1. Music Recommendation System
Make a recommendation system to prescribe music based on the user’s history.
2. Face Detection
Create a system that detects and analyzes distinct facial features.
3. Wine Quality Prediction
Create a quality prediction model to determine the quality of wine.
4. Walmart Sales Forecasting
Analyze and predict sales performance of Walmart.