abjp021

attendance-management

attendance-tracker

contact-form

Initial Commit

Decision-Tree-Classifier-Iris-Dataset

Prediction using Decision Tree Algorithm on Iris Dataset with an accuracy of 97%

Digit-Classifier-MNIST-

Train a simple digit classifier using CNN on MNIST dataset in Tensorflow & Keras

EDA-Global-Terrorism

Performed ‘Exploratory Data Analysis’ on dataset ‘Global Terrorism’ to find out the hot zone of terrorism and derive all security issues and insights

EDA-IPL

Performed ‘Exploratory Data Analysis’ on dataset ‘Indian Premier League’, to find out the most successful teams, players and factors contributing win or loss of a team. Also, Suggest teams or players a company should endorse for its products.

Exploratory-Data-Analysis-Retail-Sector

Performing ‘Exploratory Data Analysis’ on dataset ‘SampleSuperstore’. In order to find weak areas that could be processed to make profit.¶

Image-Processing-openCV

We will be Reading, Writing image files and performing image transformations such as rotation, scaling, filtering etc. using OpenCV.

jalaramaccountancy.github.io

abjp021/Image-Processing-openCV

We will be Reading, Writing image files and performing image transformations such as rotation, scaling, filtering etc. using OpenCV.

abjp021/attendance-management

abjp021/attendance-tracker

abjp021/contact-form

Initial Commit

abjp021/Decision-Tree-Classifier-Iris-Dataset

Prediction using Decision Tree Algorithm on Iris Dataset with an accuracy of 97%

abjp021/Digit-Classifier-MNIST-

Train a simple digit classifier using CNN on MNIST dataset in Tensorflow & Keras

abjp021/EDA-Global-Terrorism

Performed ‘Exploratory Data Analysis’ on dataset ‘Global Terrorism’ to find out the hot zone of terrorism and derive all security issues and insights

abjp021/EDA-IPL

Performed ‘Exploratory Data Analysis’ on dataset ‘Indian Premier League’, to find out the most successful teams, players and factors contributing win or loss of a team. Also, Suggest teams or players a company should endorse for its products.

abjp021/Exploratory-Data-Analysis-Retail-Sector

Performing ‘Exploratory Data Analysis’ on dataset ‘SampleSuperstore’. In order to find weak areas that could be processed to make profit.¶

abjp021/jalaramaccountancy.github.io

abjp021/ML_basics

This repository contains all the basic knowledge that you need to have to kickstart you career in the Field of Machine Learning.

abjp021/Predicting-optimum-number-of-Clusters-Iris-Dataset-

From the given ‘Iris’ dataset, we will be predicting the optimum number of clusters and representing it visually.

abjp021/Simple-Text-Classifier-

Training a Text Classifier using LSTM (IMDB Dataset)

abjp021/Story

practice

abjp021/Student-Precentage-Prediction

Predicting the percentage of a student based on the no. of study hours.