This project consists of data analysis and data visualization (done using python)of all IPL seasons from 2008 to 2019 and answering the most asked questions about the IPL.

Last update: Feb 08, 2022

Related tags

Overview

IPL-data-analysis

This project consists of data analysis and data visualization of all IPL seasons from 2008 to 2019 and answering the most asked questions about the IPL.
I have used the following Python Libraries: NumPy, Pandas, Seaborn and matplotlib.
THIS PROJECT MAINLY HAS 4 PARTS:
PART 1: DATA PREPARATION AND CLEANING.
PART 2: EXPLORATORY ANALYSIS AND CLEANING.
PART 3: ANSWERING THE MOST ASKED QUESTIONS ON GOOGLE ABOUT THE IPL.
PART 4: CONCLUSION AND INFERENCE.
Hope this helps anyone who are just entering into the Data Science field like me :)
Link to my socials: https://www.linkedin.com/in/sivatejaat

Owner

Sivateja A T

A Data Science enthusiast who loves to create visualizations and develop applications.

GitHub Repository

Share constant definitions between programming languages and make your constants constant again

Introduction Reconstant lets you share constant and enum definitions between programming languages. Constants are defined in a yaml file and converted

47 Sep 10, 2022

An extensive UI tool built using new data scraped from BBC News

BBC-News-Analyzer An extensive UI tool built using new data scraped from BBC New

1 Dec 31, 2021

UA-GEC: Grammatical Error Correction and Fluency Corpus for the Ukrainian Language

UA-GEC: Grammatical Error Correction and Fluency Corpus for the Ukrainian Language This repository contains UA-GEC data and an accompanying Python lib

227 Jan 02, 2023

Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external libs usage.

TextDistance TextDistance -- python library for comparing distance between two or more sequences by many algorithms. Features: 30+ algorithms Pure pyt

3k Jan 06, 2023

Text-Summarization-using-NLP - Text Summarization using NLP to fetch BBC News Article and summarize its text and also it includes custom article Summarization

Text-Summarization-using-NLP Text Summarization using NLP to fetch BBC News Arti

21 Aug 06, 2022

STS Benchmark comprises a selection of the English datasets used in the STS tasks organized in the context of SemEval between 2012 and 2017. The selection of datasets include text from image captions, news headlines and user forums.

stsb_multi_mt_en STS Benchmark comprises a selection of the English datasets used in the STS tasks organized in the context of SemEval between 2012 an

2 Nov 05, 2021

Index different CKAN entities in Solr, not just datasets

ckanext-sitesearch Index different CKAN entities in Solr, not just datasets Requirements This extension requires CKAN 2.9 or higher and Python 3 Featu

3 Dec 02, 2022

glow-speak is a fast, local, neural text to speech system that uses eSpeak-ng as a text/phoneme front-end.

Glow-Speak glow-speak is a fast, local, neural text to speech system that uses eSpeak-ng as a text/phoneme front-end. Installation git clone https://g

8 Dec 25, 2022

PyTorch Implementation of the paper Single Image Texture Translation for Data Augmentation

SITT The repo contains official PyTorch Implementation of the paper Single Image Texture Translation for Data Augmentation. Authors: Boyi Li Yin Cui T

52 Jan 05, 2023

The simple project to separate mixed voice (2 clean voices) to 2 separate voices.

Speech Separation The simple project to separate mixed voice (2 clean voices) to 2 separate voices. Result Example (Clisk to hear the voices): mix ||

31 Oct 30, 2022

NeuTex: Neural Texture Mapping for Volumetric Neural Rendering

NeuTex: Neural Texture Mapping for Volumetric Neural Rendering Paper: https://arxiv.org/abs/2103.00762 Running Run on the provided DTU scene cd run ba

68 Jan 06, 2023

Searching keywords in PDF file folders

keyword_searching Steps to use this Python scripts： (1)Paste this script into the file folder containing the PDF files you need to search from; (2)Thi

1 Nov 08, 2021

Anuvada: Interpretable Models for NLP using PyTorch

Anuvada: Interpretable Models for NLP using PyTorch So, you want to know why your classifier arrived at a particular decision or why your flashy new d

102 Oct 01, 2022

🍊 PAUSE (Positive and Annealed Unlabeled Sentence Embedding), accepted by EMNLP'2021 🌴

PAUSE: Positive and Annealed Unlabeled Sentence Embedding Sentence embedding refers to a set of effective and versatile techniques for converting raw

21 Dec 15, 2022

Programme de chiffrement et de déchiffrement inverse d'un message en python3.

Chiffrement Inverse En Python3 Programme de chiffrement et de déchiffrement inverse d'un message en python3. Explication du chiffrement inverse avec c

2 Mar 26, 2022

Unsupervised Language Model Pre-training for French

FlauBERT and FLUE FlauBERT is a French BERT trained on a very large and heterogeneous French corpus. Models of different sizes are trained using the n

212 Dec 10, 2022

[ICCV 2021] Instance-level Image Retrieval using Reranking Transformers

Instance-level Image Retrieval using Reranking Transformers Fuwen Tan, Jiangbo Yuan, Vicente Ordonez, ICCV 2021. Abstract Instance-level image retriev

86 Dec 28, 2022

Pre-training with Extracted Gap-sentences for Abstractive SUmmarization Sequence-to-sequence models

PEGASUS library Pre-training with Extracted Gap-sentences for Abstractive SUmmarization Sequence-to-sequence models, or PEGASUS, uses self-supervised

1.4k Dec 22, 2022

Deep Learning Topics with Computer Vision & NLP

Deep learning Udacity Course Deep Learning Topics with Computer Vision & NLP for the AWS Machine Learning Engineer Nanodegree Program Tasks are mostly

1 Jan 20, 2022

A crowdsourced dataset of dialogues grounded in social contexts involving utilization of commonsense.

62 Dec 20, 2022