Portfolio
Welcome to my online portfolio. My portfolio showcases my skills as a developer, including my experience with various programming languages and technologies. It also highlights my ability to work on projects independently and as part of a team, as well as my passion for coding and problem-solving.
- All
- Machine Learning
- Data Science
- Data Analysis
- Python
- Computer Vision
- R
IPL Score Prediction uisng ML and TPOT
Main aim of this project is to build a model which will predict the final score of an IPL match with the help of certain using Machine Learning Techniques and Auto ML
Titanic Shipwreck Survival Prediction from kaggle dataset
The Titanic shipwreck was one of the most infamous maritime disasters in history. On April 15, 1912, the Titanic sank after striking an iceberg during her maiden voyage, killing 1,502 people. we are going to predict the possible survivals by using machine learning.
Pan Card Forgery Detection
PAN cards is an important form of identification in India. However, there is a growing problem of fake PAN cards being used for fraudulent purposes. This project aims to use computer vision to identify fake PAN cards.
Dog_breed_identification_app
This project is targets making different dog breed identification model using - Custom CNN, MobileNet_v2, Inception_resnet_v2 for training model.
Forcasting the price of Bitcoin
The goal of this notebook is to get you familiar with working with time series data. We're going to be building a series of models in an attempt to predict the price of Bitcoin.
Natural Language processing project
In this project we are going to be predicting disaster tweets and not disaster tweets using several ML algorithms and evaluate their performances.
Heart Disease Prediction
In this project, we are using machine learning techniques to predict if patients has an heart disease or not based on provided informations.
New-York Stock Exchange Prediction
This project aims to predict the New York Stock Exchange further ahead using the values of the whole year 2016, we can split the data into 80% training and 20% testing sets. We can then use a recurrent neural network (RNN) with a long short-term memory (LSTM) layer to train the model on the training set. Once the model is trained, we can use it to predict the NYSE further ahead by simply feeding it the most recent data points and having it predict the next value.
E-Signing of Loans
This repository contains a model for predicting the likelihood of a customer e-signing a loan agreement based on their financial history. The model is trained on a dataset of historical loan data, including features such as credit score, income, and debt-to-income ratio.
Bulldozer prices prediction
In this project we are going to be prediction the future prices of bulldozer using scikit learn library and guides
Forest Fire predictions
This project is aim at predictiong the confidence of the Forest Fire based on some attributes.
Google App rating prediction
The project we are building a machine learning model to predict the ratings of the app and build a web app on Django to mount the prediction model.
Food vision with transfer learning & CNN
This project aims at beating DeepFood a 2016 paper which used a Convolution Neural Network trained for 2-3 days to achieve 77.4% top-1 accuracy
Reserve-Bank-of-India-(RBI)-resources-data-analysis
The Aim of this project is to make valuable predictions on year over year growth which is very essential in investment banking considering India, as investors usually want to see your year-over-year numbers before supplying you with business capital as well as YOY is a great statistic to use when you want to control the effects of volatility when comparing companies or economies.
Dog vs Cat detection app
The project we are using mobilenets for image classification and building our own model for image classification and build a web app with flask to mount the prediction model.