Pinned Repositories
Cats-Vs-Dogs-Prediction
Kaggle URL: https://www.kaggle.com/arpitjain007/dog-vs-cat-fastai
ChatBot-using-Keras-TkinterGUI
Chest-X-Ray-Images-Pneumonia-Prediction
Dataset and Problem Statement: https://www.kaggle.com/paultimothymooney/chest-xray-pneumonia
Color-Detection-OpenCV
Colorizing-black-and-white-images-using-Python
Image colorization is the process of taking an input grayscale (black and white) image and then producing an output colorized image. The approach we are going to use here relies on deep learning. We will utilize a Convolutional Neural Network capable of colorizing black and white images with results that can even “fool” humans!
Detect-Face-and-Blur-OpenCV
Face-Mask-Detection
Detecting face masks using Python, Keras, OpenCV on real video streams
Gender-Detection
Gender Detection using Python Keras and OpenCV on live camera
Object-Detection-on-images-using-YOLO
Smile-Detector-using-Python
balajisrinivas's Repositories
balajisrinivas/Face-Mask-Detection
Detecting face masks using Python, Keras, OpenCV on real video streams
balajisrinivas/Gender-Detection
Gender Detection using Python Keras and OpenCV on live camera
balajisrinivas/Object-Detection-on-images-using-YOLO
balajisrinivas/Color-Detection-OpenCV
balajisrinivas/ChatBot-using-Keras-TkinterGUI
balajisrinivas/Smile-Detector-using-Python
balajisrinivas/Colorizing-black-and-white-images-using-Python
Image colorization is the process of taking an input grayscale (black and white) image and then producing an output colorized image. The approach we are going to use here relies on deep learning. We will utilize a Convolutional Neural Network capable of colorizing black and white images with results that can even “fool” humans!
balajisrinivas/Chest-X-Ray-Images-Pneumonia-Prediction
Dataset and Problem Statement: https://www.kaggle.com/paultimothymooney/chest-xray-pneumonia
balajisrinivas/Detect-Face-and-Blur-OpenCV
balajisrinivas/balajisrinivas
balajisrinivas/Image-Classification-and-Flask-App
balajisrinivas/ML-Algorithms
Contains the algorithms explained in my YouTube channel
balajisrinivas/Natural-Language-Understanding
balajisrinivas/Text-Generation-using-LSTMs
The data contains information about the comments made on the articles published in New York Times in Jan-May 2017 and Jan-April 2018. The month-wise data is given in two csv files - one each for the articles on which comments were made and for the comments themselves. The csv files for comments contain over 2 million comments in total with 34 features and those for articles contain 16 features about more than 9,000 articles.
balajisrinivas/Corona-Virus-Spread-Analysis-March-2020
balajisrinivas/Model-Deployment-using-Flask
Created a model to identify Spam messages and deployed the same using Flask. My website URL : https://model-deployment-portfolio.herokuapp.com/
balajisrinivas/Netflix-Movies-and-TV-Shows-Exploratory-Analysis
This dataset consists of tv shows and movies available on Netflix as of 2019. The dataset is collected from Flixable which is a third-party Netflix search engine. In 2018, they released an interesting report which shows that the number of TV shows on Netflix has nearly tripled since 2010. The streaming service’s number of movies has decreased by more than 2,000 titles since 2010, while its number of TV shows has nearly tripled. It will be interesting to explore what all other insights can be obtained from the same dataset. Integrating this dataset with other external datasets such as IMDB ratings, rotten tomatoes can also provide many interesting findings.
balajisrinivas/validator
balajisrinivas/Flask-Login-app-Postgres
balajisrinivas/Keras-Callbacks
balajisrinivas/Natural-Image-Classification-Kaggle
Kaggle URL: https://www.kaggle.com/prasunroy/natural-images
balajisrinivas/Pandas
balajisrinivas/Simple-Chatbot-using-tflearn
balajisrinivas/Simple-Game-using-React
A simple number addition game using React
balajisrinivas/Sudoku-Solver
Sudoku Solver using Python
balajisrinivas/Website-Deployment-Heroku
balajisrinivas/Bias-And-Variance-Tradeoff-Notes
A quick Q/A type document to understand about bias and variance tradeoff
balajisrinivas/Feature-Engineering-AtoZ
balajisrinivas/Flames
Simple flames game with Python
balajisrinivas/PhotoMath