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Learn LaTeX from scratch in an easy-to-follow but highly effective way. Get up to the level of professional document writeup, presentation creation and even generating graphics and figures in LaTeX.

TeX 1 Updated Oct 6, 2021

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 underst…

Jupyter Notebook 1 Updated Nov 9, 2021

This repository contains the collection of UCI (real-life) datasets and Synthetic (artificial) datasets (with cluster labels and MATLAB files) ready to use with clustering algorithms.

1 Updated Oct 6, 2021

I've demonstrated the working of the decision tree-based ID3 algorithm. Use an appropriate data set for building the decision tree and apply this knowledge to classify a new sample. All the steps h…

Jupyter Notebook 1 Updated Oct 6, 2021
Jupyter Notebook 1 Updated Oct 6, 2021

This repository contains Python games that I've worked on. You'll learn how to create python games with AI. I try to focus on creating board games without GUI in Jupyter-notebook.

Jupyter Notebook 1 Updated Oct 6, 2021

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 …

Jupyter Notebook 1 Updated Oct 6, 2021

Matplotlib is an amazing visualization library in Python for 2D plots of arrays. Matplotlib is a multi-platform data visualization library built on NumPy arrays and designed to work with the broade…

Jupyter Notebook 1 Updated Oct 6, 2021

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 manip…

Jupyter Notebook 1 Updated Oct 6, 2021

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 scientif…

Jupyter Notebook 1 Updated Oct 6, 2021

Time is undoubtedly the most critical factor in every aspect of life. Therefore, it becomes very essential to record and track this component. In Python, date and time can be tracked through its bu…

Jupyter Notebook 1 Updated Oct 6, 2021

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

Jupyter Notebook 1 Updated Sep 23, 2021

Object-oriented programming (OOP) is a method of structuring a program by bundling related properties and behaviors into individual objects. In this tutorial, you’ll learn the basics of object-orie…

Jupyter Notebook 1 Updated Sep 23, 2021

Python too supports file handling and allows users to handle files i.e., to read and write files, along with many other file handling options, to operate on files. The concept of file handling has …

Jupyter Notebook 1 Updated Sep 23, 2021

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…

Jupyter Notebook 1 Updated Sep 23, 2021

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

Jupyter Notebook 1 Updated Sep 21, 2021

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 t…

Jupyter Notebook 1 Updated Sep 21, 2021

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.

Jupyter Notebook 1 Updated Aug 28, 2021
Python 1 Updated Dec 24, 2021

Implementing Clustering Algorithms from scratch in MATLAB and Python

Jupyter Notebook 1 Updated Dec 2, 2021

My Solutions to 120 commonly asked data science interview questions.

Jupyter Notebook 1 Updated Sep 23, 2021

The best way to learn Python is by practicing examples. The repository contains examples of basic concepts of Python. You are advised to take the references from these examples and try them on your…

Jupyter Notebook 1 Updated Oct 15, 2021

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

Jupyter Notebook 173 171 Updated Dec 9, 2022

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…

Jupyter Notebook 243 193 Updated Dec 9, 2022

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 underst…

Jupyter Notebook 202 176 Updated Jul 4, 2022
Python 196 197 Updated Jan 3, 2025
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