abhigyansingh97 Goto Github PK
Name: Abhigyan Singh
Type: User
Bio: Exploring the world of data with machine learning and visualizing with the help of tools and techniques.
Location: Bangalore,Karnataka,India.
Name: Abhigyan Singh
Type: User
Bio: Exploring the world of data with machine learning and visualizing with the help of tools and techniques.
Location: Bangalore,Karnataka,India.
Predicting the defaulters of a credit card.
The dataset consists of mall customer data,different clustering techniques were used to find which customers are most valued .
Exploratory Data Analysis
A Dataset containing of 800K row,was visualised and the deafaulters were predicted.
Used Keras to learn and make predictions on the data with digit pics.
The Dataset consisted of 23 categorical feature in which it was predicted using the features whether the mushroom is edible or not.
This data consist of characteristics of a star and with that it was predicted that whether a star is pulsar or not.
The data consisted of the characteristics of the pokemon and with the help of that it was predicted which of the pokemon is legendary.
The Dataset consisted of 4.4 million data,which i used to visualize and remove outliers and hackers from the data and then took a sample of 3 lakh data to build models and predict the winner.
the dataset consisted of different hand signs and the prediction was made if the computer could understand it correctly.
The data consisted of 19000 songs in spotify which had its own characteristics and it was predicted which song was happy and sad and also the popularity of the song was predicted.
This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
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