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

Mastering Python for Machine Learning (with Data Science)

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, The best programming language is the one you know. Python is a simple, easy to read and high level programming language. … Python is also an Object Oriented Language and also open source language but it has an added advantage that is it is also a scripting language and it is easy to write.

Python Mastering Course Summary

This Mastering Python machine learning with data sciences 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. how to program with Python, how to create amazing data visualizations, and how to use Machine Learning with Python

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

What I will learn ?

Programming in Python
Installation and Environment setup
Math of Machine Learning
Learn how to use NumPy, Pandas, Seaborn
Matplotlib , Plotly , Scikit-Learn ,
Machine Learning, Tensorflow, and more
Big Data and Spark with Python
Project – Develop Product Recommender System in Python
Many More…

Course Key Content

Learn how to program with Python, how to create amazing data visualizations, and how to use Machine Learning with Python;

Python in Python

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
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 SQL

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
K Nearest Neighbors
K Means Clustering

Python – Machine Learning & Data Science – IV

Decision Trees
Random Forests
Natural Language Processing
Neural Nets and Deep Learning
Support Vector Machines

Final Project

Project – Data Science in Finance

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