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100daysofmlcode

My attempt for #100DaysOfMLCode.

10x10daysofcode

In this challenge I will try to create 10 applications

algorithms-princeton-

blado-runnero.github.io

This will serve as my portfolio and resume website.

boston-house-price-prediction

This is a python notebook that employs the data collected from boston housing projects and uses a machine learning model to predict the house prices based on certain parameters. This uses regression technique to come up with the prices of the houses, which is then compared with the prices quoted.

capstone-project

This is a kaggle competition based project. The goal was to find out whether the claims made by the insurer towards the Allstate insurance is upto the scale or not. Allstate ran this hiring competition in kaggle. Altought I was not an active participant in this, I took this just to check my entry against the top 5%, wich was completed.

carnd-advanced-lane-detector

codechef-contest-solutions

customer-segments

This was a machine learning based project. This project demonstrates the clustering technique of machine learning. The goal was to cluster the given data of consumers to find out what behaviours they show as a cluster and which one are outliers.

data-science-roadmap

design-questions

django-course-files

dog-app

This project harnesses the power of a Convolutional Neural Networks (CNN) to identify the dog breeds. The goal of this project was to build a pipeline that can be used within a web or mobile app to process real-world, user-supplied images. Given an image of a dog, your algorithm will identify an estimate of the canine’s breed. If supplied an image of a human, the code will identify the resembling dog breed.

ds_algo_practice

This repository contains my effort to go solve as much problem as I could on data structures and algorithms. In the beginning my goal is to bring this into habit. Phase one is to implement and get familiar with all famous data structures and algorithms. I intend to make this the longest streak in my working career. Phase two will contain to solve problems on famous competitive coding websites.

eip-assignments

face_generation

In this project, a generative adversarial network was deployed to generate new images of faces using some given images of celebrity, sounds cool !!!!! This was the last project of Deep Learning Foundation Nonodegree.

finding-donors-for-charity

This project uses supervised learning to classify whether the given person is a potential donor or not. The goal was to implement a supervised classification technique on the given data.

first-neural-network

In this project, you'll get to build a neural network from scratch to carry out a prediction problem on a real dataset! By building a neural network from the ground up, you'll have a much better understanding of gradient descent, backpropagation, and other concepts that are important to know before we move to higher level tools such as Tensorflow. You'll also get to see how to apply these networks to solve real prediction problems! (Will edit later)

flutter_form_validations_with_streams

friendlyeats

google-interview-university

A complete daily plan for studying to become a Google software engineer.

heroku-deploy

image-classification

A CovNet based project using CIFAR-10 database of images to use CovNet to classify between the 10 types of labels by the given dataset

keras-contrib

Keras community contributions

language-translation

This is a deep learning based project. A document containing 140k sentence of english to french conversion was fed to train the data, and the goal was to make a language converter which converts any english text to french. This gave the most amazing results, considering the accuracy of the converted text.

maybe_a_jarvis

ml-revise

newsapi-python

A Python Client for News API

on-browser-character-recognizer

opencv--practice