hrishitelang Goto Github PK

100-days-of-python

I am building 100 projects in 100 days, such as websites, games, apps, plus scraping and data science.

a-to-z-resources-for-students

✅ Curated list of resources for college students

agnews-text-classification-using-bert

This is a multi class text classification with Deep Learning using BERT.

aws-etl-data-pipeline-in-python-on-youtube-data

bert-projects

The BERT projects that have been prepared by me

board-game-review-prediction

In this project, I am using all the different Linear Regression Models (Multiple, SVM, Decision Tree, Random Forest) to predict the user ratings of the respective board game by using an open source web scraped dataset of over 80,000 games from BoardGameGeek. With this prediction, we are deducing which kind of model predicts best with the actual user ratings from the dataset.

breast-cancer-prediction

Cancer is a collection of related diseases, in which some of the body’s cells begin to divide without stopping and spread into surrounding tissues. Regardless of the view of cancer may be, it is exaggerated and over-generalized. While a diagnosis of cancer may still leave patients feeling helpless and out of control, in many cases today there is cause for hope rather than a blinkered vision of survival. The basic aim of our project is to ensure that patients with a risk or borderline edge of getting cancer shall get themselves digitally scanned, that would eventually generate a report. This report shall achieve in alluding convoluted details regarding certain possible properties of tumours that could be sent for prediction so that they could immediately diagnose it if at all it is predicted to be malignant. The importance of classifying cancer patients into high or low-risk groups has led many research teams, from the biomedical and the bioinformatics field, to study the application of machine learning (ML) methods. Therefore, these techniques have been utilized as an aim to model the progression and treatment of cancerous conditions. In addition, the ability of ML tools to detect key features from complex datasets reveals their importance. Support vector machine has become an increasingly popular tool for machine learning tasks involving classification, regression or novelty detection. Training a support vector machine requires the solution of a very large quadratic programming problem. Up to now, several approaches exist for circumventing the above shortcomings and work well with the dataset. And besides, till now the project has confined its attempt to diagnose breast cancer only. In this way, we can affirm that the prognosis of cancer can be achieved, and accordingly, we can produce outputs for the same.

case-studies

Stout Case Studies

cluster-analysis-and-decision-tree-induction

Using Cluster Analysis and Decision Tree algorithm to solve a mystery in history: who wrote the disputed essays, Hamilton or Madison?

covid19-pandemic-in-india

Analysis of COVID19 effect in India

credit-card-fraud-detection

The Credit Card Fraud Detection Problem includes modeling past credit card transactions with the knowledge of the ones that turned out to be fraud. This model is then used to identify whether a new transaction is fraudulent or not. The aim here is to detect 100% of the fraudulent transactions while minimizing the incorrect fraud classifications. It was achieved using the dataset obtained from Kaggle (https://www.kaggle.com/mlg-ulb/creditcardfraud)

crime-rate-prediction-using-facebook-prophet

I predicted trends of Chicago Crime Rates, future predictions and overall insights using Facebook Time Prophet

cv

Webpage of my CV in simple HTML/CSS format

do180-apps

DO180 Repository for Sample Applications

excel-files

Creating Excel sheets for practice

hotel-data-analysis

IST 687 Project

hotel-management-system

IST 659 Project

hrishitelang

Config files for my GitHub profile.

hrishitelang.github.io

This is my portfolio website.

ist-659-database-administration-concepts-database-management

IST 659

ist-687-introduction-to-data-science

IST 687

ist-707-applied-machine-learning

IST 707

ist-722-data-warehouse

IST 722

job-salary-prediction-system

IST 707 Project

leetcode-problem-solving-and-sql

I am solving algorithms and Data Structures in this repository

malaria-parasite-classification-system

movie-recommender-system

The objective of the project is to show customers content that they would like best based on their historical activity. I applied the knowledge of Data Wrangling, Data Visualization and Item-based Collaborative Filtering to get the desired output.

police-activity-analysis

In this project, I've applied my knowledge of Python by answering interesting questions using the Stanford Open Policing Project dataset and analyzing the impact of gender on police behavior.

practice-ml-projects

Practicing and saving a few ML projects for experimentation

pyspark-practice