takshkamlesh Goto Github PK

are-you-depressed-

churn-risk-rate-prediction

Solution to hackerearth challenge : https://www.hackerearth.com/challenges/competitive/hackerearth-machine-learning-challenge-predict-customer-churn/problems/

dffml

The easiest way to use Machine Learning

ensemble-neural-networks

My solution to hackerearth ML challenge "Airplane severity classsification"

face-reconition

facial-keypoints

fastai-vegetation-detection

For this kaggle challenge I have imported densenet model from the popular FastAI library.

fine-tuned-image-classification

This program classifies an image into dog , horse, cat or man. It uses a pretrained resnet51. I have attached custom fully connected layers and only trained them.

flower-recognition

My solution to hackerearth problem

hourly-covid-cases-tracker

A spring boot web application that tracks the number of global coronavirus cases every hour.

ingv---volcanic-eruption-prediction

Solution to Kaggle challenge https://www.kaggle.com/c/predict-volcanic-eruptions-ingv-oe

iris-localization

Localization of Iris Region using none other than classical computer vision techniques

jigsaw-toxicity-classification

loan-eligibilty-prediction

machine-learning-june-2018

ML Summer 2018 - June 2018 - I Batch

measuring-cognitive-attention-from-feature-extraction-and-classification-of-eeg-signals

mnistdcgan

Using Deep Convolutional Generative Adverssarial Networks we can generate Handwritten Digits from 0-9.

neural-style-transfer

Art generation using CNN

one-shot-learning

opencv

Open Source Computer Vision Library

palm-detection-and-counting

Using Opencv I have created a program which detects and counts the number of fingers in the hand currently appearing in the bounding box. Note that this algorithm does not use any deep learning techniques and relies on classic computer vision models.

scipy

Scipy library main repository

sentiment-analysis-using-bidirectional-rnns

statsmodels

Statsmodels: statistical modeling and econometrics in Python

syshub

tensorflow-image-denoising

This project uses Deep Convolutional Autoencoders to denoize images of handwritten digits from MNIST dataset.

to-do-app

Project using spring framework

unet

vehicle-accident-detection-using-accelerometer-data-mounted-on-dashboard

wild-animal-intrusion-detection-and-alerting-system

I have created an android application, which uses deep learning for detecting the type of wildlife. Then, an alert system is also built into the app such that in case of a wild animal, the time of detection is updated on Fireabase Realtime database, which alerts every smartphone which has the android application.