HemanthKumarGadi

-Python-Medium-A-via-CodeAssess-Happest-Mind-Exam-

Python Medium A via CodeAssess Happest Mind Online exam for Data Science Hiring

Auto-tag-images-of-galas-

hacker earth challenge. Classify the images into separate categories using Deep Learning

Binary-Class-Classification

A introduction to binary class classification using Accenture interview data set

Data-analysis-using-R-programming-on-Crime-Dataset

Gender-Neutrality-and-Inclusion-Amazon-Bussiness-Research-Analyst-Hackthon-

Companies are expected to be equal opportunity employers. Their recruitment and selection process is expected to provide equal opportun ity irrespective of gender identity or expression, religion, color, sex, age, physical or mental disability, sexual orientation, or any other basis covered by local law. Removal of bias and providing equal opportunity to all applicants promotes access to the widest pool of talent. XyX corporation recruits employees for fixed Job Codes every year. Basis the applications received last year for each job code profile, a 'fitment %' percentage was determined based on selections made. XyX followed a fair and equitable approach by personally looking at all parameters and determining the right fit. This year the number of applicants has multiplied and they are looking at an ML model to predict the 'fitment %' for the applications received maintaining a fair and equitable approach.

HackerEarth-Machine-Learning-challenge-Calculate-the-severity-of-an-airplane-accident

Multi Class Classification i.e Classify the accident types based airoplane parameters

HackerRank-Solutions

Hands-On-Deep-Learning-Algorithms-with-Python

Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow

JanataHack-HR-Analytics

Learning-to-Rank-LTR-Basics

HemanthKumarGadi/Learning-to-Rank-LTR-Basics

HemanthKumarGadi/-Python-Medium-A-via-CodeAssess-Happest-Mind-Exam-

Python Medium A via CodeAssess Happest Mind Online exam for Data Science Hiring

HemanthKumarGadi/Auto-tag-images-of-galas-

hacker earth challenge. Classify the images into separate categories using Deep Learning

HemanthKumarGadi/Binary-Class-Classification

A introduction to binary class classification using Accenture interview data set

HemanthKumarGadi/Data-analysis-using-R-programming-on-Crime-Dataset

HemanthKumarGadi/Gender-Neutrality-and-Inclusion-Amazon-Bussiness-Research-Analyst-Hackthon-

Companies are expected to be equal opportunity employers. Their recruitment and selection process is expected to provide equal opportun ity irrespective of gender identity or expression, religion, color, sex, age, physical or mental disability, sexual orientation, or any other basis covered by local law. Removal of bias and providing equal opportunity to all applicants promotes access to the widest pool of talent. XyX corporation recruits employees for fixed Job Codes every year. Basis the applications received last year for each job code profile, a 'fitment %' percentage was determined based on selections made. XyX followed a fair and equitable approach by personally looking at all parameters and determining the right fit. This year the number of applicants has multiplied and they are looking at an ML model to predict the 'fitment %' for the applications received maintaining a fair and equitable approach.

HemanthKumarGadi/HackerEarth-Machine-Learning-challenge-Calculate-the-severity-of-an-airplane-accident

Multi Class Classification i.e Classify the accident types based airoplane parameters

HemanthKumarGadi/HackerRank-Solutions

HemanthKumarGadi/Hands-On-Deep-Learning-Algorithms-with-Python

Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow

HemanthKumarGadi/JanataHack-HR-Analytics

HemanthKumarGadi/K-NN-USE-CASE-

practical implementation of K-nn algorithm

HemanthKumarGadi/learnopencv

Learn OpenCV : C++ and Python Examples

HemanthKumarGadi/Loan-Default-Prediction-EDA

predict the likelihood of a borrower defaulting on a loan using a machine learning model.

HemanthKumarGadi/nlp

:memo: This repository recorded my NLP journey.

HemanthKumarGadi/Notes-and-coins-Hackerearth-Problem

Notes and coins Hackerearth Problem Solution

HemanthKumarGadi/NovartiesDataScienceChallenge

HemanthKumarGadi/Predict-an-Ad-s-Success-HackerEarth-Machine-Learning-Challenge

Predict the ad's success based on customer information

HemanthKumarGadi/Predict-The-Condition-and-Insurance-Amount-of-Damaged-Vehicle-Using-Machine-Learning

Vehicle Insurance is Insurance for cars, it's main purpose is to provide financial protection against physical damage or bodily injury caused by traffic collisions. Vehicle Insurance may additionally offer financial protection against theft of the vehicle and against damage to the vehicle sustained because of events other than traffic collisions such as keying, weather or natural disasters, and damage sustained by colliding with stationary objects. Based on Vehicle Condition we need to predict the Insurance Amount(based on different values predict the how much amount will be offer by different Insurance Companies) Task is to Predict the Condition (Predict if the Vehicle provided in the Image is damaged or not) Amount (Based on condition of a vehicle, predict the insurance amount of the cars )

HemanthKumarGadi/PREDICT-TRIGLYCERIDE-LEVELS-THOSE-ARE-LEY-FATCOR-IN-HEART-REALTED-PROBLEMS.

HemanthKumarGadi/Predict-whether-the-same-type-of-order-can-be-repeated-by-customer-or-not-skillenza-Challenge-

Objective: By classifying the different orders, the company’s research team will understand better insights and research can help them make good decisions on setting prices for customers in different regions. This kind of research also helps companies to understand from which type of customers and in which type of regions the orders can be repeated by customers. Goal: Given the order transaction details, build a classification model which can predict whether the same type of order can be repeated by any customer or no chance that the same type of order cannot be repeated by any customer.

HemanthKumarGadi/py

Repository to store sample python programs for python learning

HemanthKumarGadi/Python-for-Data-science

Sample code on python data structures like list ,tuple,set,dictionary

HemanthKumarGadi/Resume

HemanthKumarGadi/RNN-LSTM-Theory-and-use-case-

repo contains basics of both rnn and lstm and gru

HemanthKumarGadi/Sentiment-Analysis-on-Hackerearth-Use-Case

HackerEarth Machine Learning challenge: Mothers’ Day Twitter Data Classification

HemanthKumarGadi/Supplement-Sales-Prediction-Analytics-Vidya-Hackthon

forecasting of sales

HemanthKumarGadi/test_db

A sample MySQL database with an integrated test suite, used to test your applications and database servers

HemanthKumarGadi/thesemicolon

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

HemanthKumarGadi/Time_Series_Prediction

This is the code for "Time Series Prediction" By Siraj Raval on Youtube

HemanthKumarGadi/wrd_emb