Machine Learning Course in Hyderabad
- Machine Learning Course and Internship Training Covers essential Python Programming, Machine Learning Algorithms and deploying machine learning algorithms
- Class Room at Hyderabad or Online Training
- Internship Training, Project Mentoring
Online Machine Learning Internship Training
Classroom Machine Learning Training, Hyderabad
Classroom Machine Learning Training, Hyderabad
- Get Trained by Trainers from IIT Alumni
- 40 + hours of live online sessions
- Recorded Videos
- 10 + projects
- 60+ Hours of practical Assignments
- Guaranteed machine learning internship
- Dedicated mentoring sessions from industry experts
- Certification
Classroom Machine Learning Training, Hyderabad
Classroom Machine Learning Training, Hyderabad
Classroom Machine Learning Training, Hyderabad
- Get Trained by Trainers from IIT Alumni
- 40 + hours of Classroom Training at Hyderabad
- Hands-on practice
- 10 + Machine Learning Course projects
- 60+ Hours of practical Assignments
- Guaranteed machine learning internship
- Dedicated mentoring sessions from industry experts
- Certification
Machine Learning Course Projects
SMS Spam Filtering
Movie Recommendation
Zomato Restaurant Recommendation
Boston House Price Prediction
Classifying Handwritten Digits
Grape Quality Prediction
Predicting survival on the Titanic
Graduate Admission Prediction
Hear Disease Prediction
Machine Learning Course Curriculum
1. Introduction to Machine Learning
1. What is Machine Learning
2. Use cases of Machine Learning
3. Types of Data
4. Different types of Machine Learning
5. Python Programming: Sequences and Iteration, Boolean and Conditionals, Functions& Modules, Python Data Structures, Overview of OOPs, Creating Classes, Creating Instance Object
2. Machine Learning tools & packages
1. Data Analysis: Numpy, Pandas and Scikit-Learn
2. Data Visualization: Matplotlib, Seaborn
3. Pre-processing Data using machine learning tools
3. HTTP Requests
1. HTTP Requests : REST API, HTTP Methods
2.Weather API and Data Analysis
4. Recommendation systems
1. Movie Recommendation systems
2. Restaurant Recommendation systems
5. Regression Algorithms
1. Linear Regression
2. Multiple Linear Regression
3. Polynomial Regression
4. Decision Tree
6. Classification algorithms
1. Logistic Regression
2. K-Nearest Neighboring
3. Naive-Bayes
4. Decision Tree
7. Unsupervised Learning
1. K Means Clustering
8. Deploying Machine Learning Model using Flask
1. Web Development using HTML and CSS
2. Web Application using Flask and Python
3. Deploying ML Model using Flask Framework
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