Muskaan Jain's repositories
Human-pose-estimation-using-Intel-OpenVINO-
For every person in an image, the network detects a human pose: a body skeleton consisting of keypoints and connections between them.
smart-home-arduino-
This project involves the generation and working of a Smart Home which consists of some normal appliances that a normal house possesses. But, this home will work in a more automated,efficient and easy way.
Algo_Ds_Notes
It is a repository that is a collection of algorithms and data structures with implementation in various languages.
Data-Visualization-Techniques-using-Seaborn-and-Matplotlib-
Importance of visualizing data, and why visualization is required in data science as well as common tools.
fashion-items-classificastion
Using Deep Learning techniques, I have classified a fashion immanence data into 10 labels.
Hyperparameters-Tuning-for-improving-Deep-Neural-Networks
To teach you the "magic" of getting deep learning to work well. Rather than the deep learning process being a black box, you will understand what drives performance, and be able to more systematically get good results.
Plant_Disease_Detection
Plant Disease Detector Web Application
SIIM-ISIC-Melanoma-Classification-
Identify melanoma in lesion images using Ensemble learning under Deep Learning models.
Titanic-disaster-prediction
Using machine learning to create a model that predicts which passengers survived the Titanic shipwreck.
Building-Deep-Learning-Models-using-Pytorch
Introduction to deep learning using pytorch and better insights on some DL models.
Hackerearth-Tom-and-Jerry-Emotion-Detection-Deep-Learning-Challenge-
In this challenge, we are required to build a model that detects the emotions of the characters in a video frame from our most-loved show, Tom and Jerry. The task is to extract frames from a video clip provided and classify the primary character’s emotion into one of the five classes: angry, happy, sad, surprised, or Unknown.
Pandas-for-Data-Science
It covers the fundamental concepts to use the Python Pandas Data Science Library.
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
Breast-cancer-classification
Support vector machines combined with feature selection for breast cancer diagnosis.
Coursera-Deep-Neural-Network-Application-for-Cat-vs-Non-cat-images
Experiment with different model architectures and see how each one behaves to image classfication.
Data-Structures-and-Algorithms-Practice
Understanding data structures and algorithms.
End_to_end_ML
Stock market dash project
gym
A toolkit for developing and comparing reinforcement learning algorithms.
machine_learning_examples
A collection of machine learning examples and tutorials.
OpenVINO-Custom-Layers
Tutorial for Using Custom Layers with OpenVINO (Intel Deep Learning Toolkit)
Predicting-Ad-Success
To predict whether the revenue generated will cover costs to produce and air the ad.
predictionio
PredictionIO, a machine learning server for developers and ML engineers.
SandDance
Visually explore, understand, and present your data.
Sentiment-Analysis-of-Restaurant-Reviews-using-NLP-techniques
I use a restaurant review dataset to review negative or positive feedback.
solcore5
A multi-scale, python-based library for the modelling of solar cells and semiconductor materials
Spotify-Recommendation-Engine
Music Recommender System
Water-Monitoring-System
Water Monitoring System is an IOT based Liquid Level Monitoring system that has mechanisms to keep the user alerted in case of liquid overflow or when tank depletes.
Web-Scraping-with-BeautifulSoup-and-Requests
In this we will be learning how to scrape websites using the BeautifulSoup library in Python. BeautifulSoup is an excellent tool for parsing HTML code and grabbing exactly the information you need.