Mastering Python Machine Learning with Data Science Course in Karachi Islamabad Lahore Pakistan

Mastering Python for Machine Learning (with Data Science)

Introduction

Python is an interpreted high-level programming language for anyone want to use only Python in designing any Machine Learning (IoT) project. Machine learning, in layman terms, is to use the data to make a machine make intelligent decision. The Python Programming – course teaches Python programming, which is a powerful open-source language that is very popular in the fields of data analysis, finance and web development.

Python is a popular data science programming language because of its simple syntax and intuitive features. This also makes it the perfect choice for beginner programmers. It offers a host of robust tools and libraries that make it easy to process data and produce business intelligence

Python Mastering Course Learning Summary

The students will learn to use various standard libraries in the Python ecosystem such as Pandas, NumPy, Matplotlib, Scikit- to tackle different stages of a data science project such as extracting data, cleaning and processing data, building and evaluating machine learning model. After the completion of the course, the students will have a clear understanding of data science projects and have the knowledge to apply various Python libraries to create a data science solution.

This course is designed for both beginners without programming experience or experienced developers looking to make the start to Data Science career!

Course Modules

Python Fundamentals

Introduction to Python
Variables, Strings, Numbers
Math Operators, Built-in functions
Lists, List Indexing and Slicing, List Methods
Tuples, Dictionaries
User Input, Conditions
Custom Functions
Working with Files, Processing the content of a file

Working with Loops and Packages

For Loop, While Loop
String Formatting
Modules, Libraries and Packages
Installing Python Packages
Working with Date and Time objects
The “with” Contect Manager

Dealing with Programming Errors

Syntax Errors
Runtime Errors
Exception Handling in Python

Data Analysis with Pandas

Getting Started with Pandas
Loading Data in Python from CSV, Excel, TXT and JSON Files
Indexing and Slicing Dataframes
Dropping Dataframe Columns and Rows
Updating and Adding new Columns and Rows

Python – Machine Learning & Data Science – I

NumPy with Python
Using pandas Data Frames to solve complex tasks
Use pandas to handle Excel Files
Web scraping with python
Connect Python to MongoDB

Python – Machine Learning & Data Science – II

Use matplotlib and seaborn for data visualizations
Use plotly for interactive visualizations

Python – Machine Learning & Data Science – III

Python – Machine Learning with SciKit Learn, including
Linear Regression

Python – Machine Learning & Data Science -IV

- Introduction to MongoDB
- Design MongoDB database from start to finish
- Differentiate between RDBMS and NoSQL databases
- Spot key features and advantages of NoSQL database MongoDB over RDBMS databases
- Installing MongoDB
- Working on pyMongo
- MongoDB Learn performing CRUD Operations

Who Should Attend the Python Training

Data Scientists / Data Analyst
Computer Programmers / Software Engineers to acquire Python scripting skill
System / Network Administrators who want to automate their day to day tasks using Python
Database Admin, database programmers / Web Developers
Fresh Graduates looking for their first job
Automation Engineers willing to make career in Machine Learning / IoT