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01_python_introduction

Learn the basics of Python. These tutorials are for Python beginners. so even if you have no prior knowledge of Python, you won’t face any difficulty understanding these tutorials.

02_python_datatypes

Data types specify the different sizes and values that can be stored in the variable. For example, Python stores numbers, strings, and a list of values using different data types. Learn different types of Python data types along with their respective in-built functions and methods.

03_python_flow_control

Flow control is the order in which statements or blocks of code are executed at runtime based on a condition. Learn Conditional statements, Iterative statements, and Transfer statements

04_python_functions

The function is a block of code defined with a name. We use functions whenever we need to perform the same task multiple times without writing the same code again. It can take arguments and returns the value.

07_python_advanced_topics

You'll learn about Iterators, Generators, Closure, Decorators, Property, and RegEx in detail with examples.

09_python_numpy_module

Numpy is a general-purpose array-processing package. It provides a high-performance multidimensional array object and tools for working with these arrays. It is the fundamental package for scientific computing with Python. Besides its obvious scientific uses, Numpy can also be used as an efficient multi-dimensional container of generic data.

10_python_pandas_module

Pandas is a high-level data manipulation tool developed by Wes McKinney. It is built on the Numpy package and its key data structure is called the DataFrame. DataFrames allow you to store and manipulate tabular data in rows of observations and columns of variables.

11_python_matplotlib_module

12_python_seaborn_module

Seaborn is one of the go-to tools for statistical data visualization in python. It has been actively developed since 2012 and in July 2018, the author released version 0.9. This version of Seaborn has several new plotting features, API changes and documentation updates which combine to enhance an already great library.

13_python_scikit-learn_module

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

az-900

Very compressed personal notes about Microsoft's AZ-900 (Microsoft Azure Fundamentals) certification

clustering_algorithms_from_scratch

Implementing Clustering Algorithms from scratch in MATLAB and Python

data-analysis

Data Analysis Portfolio

data-science-mastery-map

"Unlock the ultimate beginner's guide to data science! Our curated repository is packed with ML, DL, NLP, and Python essentials, offering clear pathways and valuable insights for your journey. Dive into data analysis and AI effortlessly with best-in-class tools and tutorials tailored for beginners."

datascience_interview_questions

My Solutions to 120 commonly asked data science interview questions.

deep_learning_algorithms_from_scratch

This repository explores the variety of techniques and algorithms commonly used in deep learning and the implementation in MATLAB and PYTHON

ecommerce-sales-dashboard-in-power-bi

This project aims to provide a clear and actionable understanding of the e-commerce business and its various components, helping identify areas for improvement and growth.

ipl-data-analysis

This project involves analyzing the Data Analysis of the IPL dataset of each year by Highest scores, WIn-Loss relation and different types of relationships are shown in this repo.

kaggle-practice

machine_learning_algorithms_from_scratch

This repository explores the variety of techniques and algorithms commonly used in machine learning and the implementation in MATLAB and PYTHON.

machinelearninginaction

Source Code for the book: Machine Learning in Action published by Manning

nagarjunaf1

Config files for my GitHub profile.

numerical-linear-algebra

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

pandas_exercises

Practice your pandas skills!

python-machine-learning-book

The "Python Machine Learning" book code repository and info resource

python-project

python_computer_vision_from_scratch

This repository explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both for specialized applications such as medical imaging, and for fun, consumer-level tasks such as image editing and stitching, which students can

python_natural_language_processing

This repository consists of a complete guide on natural language processing (NLP) in Python where we'll learn various techniques for implementing NLP including parsing & text processing and understand how to use NLP for text feature engineering.

store-demand-forecasting

This project predicts the sales demand for various items in different stores based on historical sales data. The objective is to develop a machine learning model that can provide accurate forecasts for future sales of each store-item combination.