Anmol Durgapal's repositories
soccerplots
A Python package for data visualisation for football analytics.
Football-Analytics-With-Python
A repository for football analytics
Soccermatics-With-Python
Mathematical modelling of football using Python.
Coding-Problems
This repository contains coding problems and their solutions.
Nightingale-Charts-Plotter
Make Percentile Nightingale-Charts / Pizza-Charts with a few clicks.
Footy-Events
A Python program that scrapes football fixtures from a website and add those events in your google calendar.
La_Liga_2018_19
Using Exploratory Data Analysis(EDA), analyzing pattern in data for La Liga season 2018-19 and trying to understand various aspects that went throughout the season.
My-Data-Visualization-Work
This repository contains all my recent data visualization work.
Better-Stats-Than-Never
An intuitive and easy way for getting started in statistics.
Image-Super-Resolution
Deploying the Super-Resolution-Convolutional-Neural-Network (SRCNN) algorithm to make a high-resolution image from a low-resolution image.
mpl-third-party
Webpage
Practical-Deep-Learning
Practical Deep Learning from basics to advanced in PyTorch.
Handwritten-Digit-Classifier
Building an Artificial Neural Network(ANN) from scratch and training it to classify handwritten digits.
Making-Table
Python script to make tables (CLI Program)
maths-for-ml
Notes and solutions for the Mathematics for Machine Learning Specialization
matplotlib
matplotlib: plotting with Python
Gaze_Controlled_Keyboard
Eye detection - "GAZE CONTROLLED KEYBOARD" using python with opencv,completely from scratch .
Image-Classification-Deep-Learning
Using deep neural nets to build a cat vs. non-cat classifier.
Python
This repository contains Python codes.
Screenshot-to-code
A neural network that transforms a design mock-up into a static website.
The-Bollywood-Game
A movie(bollywood) guessing game (CLI Program)
The-CSV-Reader
Manages data held in csv format.(CLI Program)
Titanic-Disaster
In this project, we will try to analyze the data of the passengers in the Titanic and try to find out what sorts of people were likely to survive. In particular, we will apply the tools of machine learning to predict which passengers survived the tragedy.