Machine Learning Full Course with 4 LIVE SOFWARE Project

Free Courses : Machine Learning Full Course with 4 LIVE SOFWARE Project

Are you ready to start your path to becoming a Data Scientist!

This comprehensive course will be your guide to learning how to use the power of Python to analyze data, create beautiful visualizations, and use powerful machine learning algorithms! With LIVE 4 STEP by STEP PROJECTS

Data Scientist has been ranked the number one job on Glassdoor and the average salary of a data scientist is over $120,000 in the United States according to Indeed! Data Science is a rewarding career that allows you to solve some of the world's most interesting problems!

This course is designed for both beginners with some programming experience or experienced developers looking to make the jump to Data Science!

This comprehensive course is comparable to other Data Science bootcamps that usually cost thousands of dollars, but now you can learn all that information at a fraction of the cost! this is one of the most comprehensive course for data science and machine learning on Udemy!

We'll teach you how to program with Python, how to create amazing data visualizations, and how to use Machine Learning with Python! Here a just a few of the topics we will be learning:

***Topics***

Introduction with AI & Machine Learning

Use of Data in the world of AI

Why Python?

Installing & Setting up Python on System

Simple Python Program

Python Revisit: Keywords, Data Types, Operators

Conditional/Looping/Error Handling in Python

Comprehensions

Python User Defined Functions

Python Generators

Lambda Expressions

Python Modules: Usage and Installation

Understanding the OOP of Python

Python Numpy Arrays

Creating, Accessing, Manipulating Numpy Array

Numpy Data Types

Array Attributes

Data Operations

Arithmetic and Statistical Methods

Sort, Search, Count

File Handling with Numpy

The Series and DataFrame

Creating, Accessing, Manipulating Pandas Data

Series and DataFrame Attributes & Basic Functions

Iteration on Data

Statistical Functions; String Functions

Logical Indexing; Sorting & Reindexing

Merging, Joining & Concatenation of Data

Grouping Data

How Data is Beautiful?

Visualization Libraries in Python

MATPLOTLIB PYPLOT: line, scatter, pie, box, area, etc

Decorating the plots using Matplotlib (labels, colors, markers,legend, grids, figure sizes, etc)

The Subplots and axes in matplotlib

Showing Images

Understanding the concept of Machine Learning

The Flow of Machine Learning

The Mathematics Required for ML

Types of Learning and their sub-categories

The Scikit-learn Library

REGRESSION: Linear Regression

The Line Equation; Fitting Data in Model

Trade-off between biases-variances

Performance Evaluation of Model

Multiple Linear Regression: Case-study

Logistic Regression: Concept

Kernel Nearest Neighbors (KNN)

Decision Trees Classifier

Random Forest Classifier Introduction to Streamlit

*Projects*

Project 1: House Price Prediction Model

Project 2: Heart Disease Detection Model

Project 3: Bank Churn Prediction Model

Project 4: Automated Loan Prediction System

1. Belajar PDO database PHP
2. React JavaScript
3. Membuat website responsive
4. Belajar laravel relation
5. Tutorial PHP bermain dengan waktu