pratap-is-here

Face-Recognition-for-the-Happy-House

Here you will build a face recognition system. In this project, we will: Implement the triplet loss function Use a pretrained model to map face images into 128-dimensional encodings Use these encodings to perform face verification and face recognition

Deep-Learning-Art-Neural-Style-Transfer

In this project, we will: Implement the neural style transfer algorithm Generate novel artistic images using your algorithm

Neural-Machine-Translation

You will build a Neural Machine Translation (NMT) model to translate human readable dates ("25th of June, 2009") into machine readable dates ("2009-06-25"). You will do this using an attention model, one of the most sophisticated sequence to sequence models. This notebook was produced together with NVIDIA's Deep Learning Institute.

porter-stemmer

python implementation of Porter's stemming algorithm

Trigger-Word-Detection

In this assignment you will learn to: Structure a speech recognition project Synthesize and process audio recordings to create train/dev datasets Train a trigger word detection model and make predictions

Whitening-with-PCA-tutorial

This notebook is a part of the tutorial I wrote about whitening with PCA

Autoencoder-using-tensorflow

In this project, I created a powerful vanilla encoder using tensorflow.

DS_projects

Data-driven projects repo

income-predictor-end-to-end

In this project, a machine learning model for predicting income is developed. Deployment is done using Flask API and Heroku.

Stacking-tutorial-titanic-dataset-

This notebook is a part of the article i wrote on stacking.

Autonomous-driving---Car-detection

You will learn about object detection using the very powerful YOLO model.

Building-your-Recurrent-Neural-Network---Step-by-Step

In this project, we will implement your first Recurrent Neural Network in numpy.

Character-level-language-model---Dinosaurus-land

Welcome to Dinosaurus Island! 65 million years ago, dinosaurs existed, and in this assignment they are back. You are in charge of a special task. Leading biology researchers are creating new breeds of dinosaurs and bringing them to life on earth, and your job is to give names to these dinosaurs. If a dinosaur does not like its name, it might go beserk, so choose wisely!

Convolutional-Neural-Networks-Application

In this notebook, we : Implemented helper functions that we used when implementing a TensorFlow model Implement a fully functioning ConvNet using TensorFlow

Convolutional-Neural-Networks-Step-by-Step

In this project, we implemented convolutional (CONV) and pooling (POOL) layers in numpy, including both forward propagation and backward propagation.

data.table

R's data.table package extends data.frame:

DeepLearning.ai-Summary

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

Emojify-

You are going to use word vector representations to build an Emojifier.

Enron_fraud_identifier

In this project, I played detective, and put my machine learning skills to use by building an algorithm to identify Enron Employees who may have committed fraud based on the public Enron financial and email data set.

Improvise-a-Jazz-Solo-with-an-LSTM-Network

Here I learned to: Apply an LSTM to music generation. Generate your own jazz music with deep learning.

internships

A collection of internship applications for the summer of 2020

Keras-tutorial---the-Happy-House

In this assignment, you will: Learn to use Keras, a high-level neural networks API (programming framework), written in Python and capable of running on top of several lower-level frameworks including TensorFlow and CNTK. See how you can in a couple of hours build a deep learning algorithm.

Learn_Deep_Learning_in_6_Weeks

This is the Curriculum for "Learn Deep Learning in 6 Weeks" by Siraj Raval on Youtube

movie-recommendation-system

In this project, i built a movie recommendation model and then formed it's API. I am currently working on it to be a part of backend for a movie recommendation website.

opencv

Open Source Computer Vision Library

Operations-on-word-vectors

After this assignment you will be able to: Load pre-trained word vectors, and measure similarity using cosine similarity Use word embeddings to solve word analogy problems such as Man is to Woman as King is to __. Modify word embeddings to reduce their gender bias Let's get started!

pythonForDataScienceSR

Residual-Networks

You will learn how to build very deep convolutional networks, using Residual Networks (ResNets).

spam-detection-dataset

This is the dataset that can be used for training a model for spam detection

Titanic-survival-predictor

In this challenge, I completed the analysis of what sorts of people were likely to survive in the sinking of RMS titanic. In particular, I applied the tools of machine learning to predict which passengers survived the tragedy.