# Machine Learning Concepts and Application of ML using Python

Machine Learning Concepts and Application of ML using Python

* Apply machine learning techniques on real world problem or to develop AI based application.
Analyze and Implement Regression techniques. Solve and Implement
solution of Classification problem. Understand and implement
Unsupervised learning algorithms. Topics*

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Last updated 1/2021

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What you'll learn

- Learn the A-Z of Machine Learning from scratch
- Build your career in Machine Learning, Deep Learning, and Data Science
- Become a top Machine Learning engineer
- Core concepts of various Machine Learning methods
- Mathematical concepts and algorithms used in Machine Learning techniques
- Solve real world problems using Machine Learning
- Develop new applications based on Machine Learning
- Apply machine learning techniques on real world problem or to develop AI based application
- Analyze and implement Regression techniques
- Linear Algebra basics
- A-Z of Python Programming and its application in Machine Learning
- Python programs, Matplotlib, NumPy, basic GUI application
- File system, Random module, Pandas
- Build Age Calculator app using Python
- Machine Learning basics
- Types of Machine Learning and their application in real-life scenarios
- Supervised Learning - Classification and Regression
- Multiple Regression
- KNN algorithm, Decision Tree algorithms
- Unsupervised Learning concepts & algorithms
- AHC algorithm
- K-means clustering & DBSCAN algorithm and program
- Solve and implement solutions of Classification problem
- Understand and implement Unsupervised Learning algorithms

Requirements

- Enthusiasm and determination to make your mark on the world!

Description

Machine Learning And Data Science With Python Bootcamp 2021 Learn
Machine learning and data science with python and solve real world
machine learning problems

Uplatz offers this in-depth course on Machine Learning concepts and implementing machine learning with Python.

Objective: Learning basic concepts of various machine learning methods is primary objective of this course. This course specifically make student able to learn mathematical concepts, and algorithms used in machine learning techniques for solving real world problems and developing new applications based on machine learning.

Course Outcomes: After completion of this course, student will be able to:

1. Apply machine learning techniques on real world problem or to develop AI based application

2. Analyze and Implement Regression techniques

3. Solve and Implement solution of Classification problem

4. Understand and implement Unsupervised learning algorithms

Data Science Course 2021: Complete Machine Learning Training Build a Career in Artificial Intelligence (AI). Hands-on Training with "7 Stages of Machine Learning ...

2021 Python for Data Science & Machine Learning from A-Z

Learn Data Science Deep Learning, Machine Learning NLP & R

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