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aaic

Applied AI Course Assingment and Notes

algorithm-whiteboard-resources

this is where we share notebooks/projects used in your youtube channel

all-case-studies-py

This repository is for all case studies that I have done so far

amazon-fashion-discovery-engine

A content based recommendation system to recommend similar clothing based on data from amazon.com

applied-interview-preparation

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

appliedaicourse_notes

Applied AI(https://www.appliedaicourse.com/course/11/Applied-Machine-learning-course) Notes Prepared by Rohit Sawant.

basic-mathematics-for-machine-learning

The motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learning and other fields of AI

build-cnn-networks-on-mnist-dataset

Apply different Convolutional Neural Network ( CNN ) architectures on MNIST dataset which is inbuilt in Keras library . MNIST dataset contains images of all hand - written digits from 0 to 9 . our task is to classify them all by using various architectures of convolutional neural networks.

build-lstm-model-on-amazon-fine-food-reviews-dataset

Apply different Recurrent Neural Network ( RNN ) architectures on Amazon Fine Food Reviews dataset . Amazon Food Reviews dataset contains all reviews written by users on Amazon website . These reviews are about food related items and our task is to classify them all whether they are 'Positive' or 'Negative' by using various architectures of recurrent neural networks with multiple LSTM layers

build-mlp-architectures-on-mnist-dataset

Apply different Artificial Neural Network ( ANN ) architectures or different Multi-Layered Perceptron ( MLP ) architectures on MNIST dataset which is inbuilt in Keras library . MNIST dataset contains images of all hand - written digits from 0 to 9 . our task is to classify them all by using various architectures of artificial neural networks.

coding-interview-university

A complete computer science study plan to become a software engineer.

coms4995-s20

COMS W4995 Applied Machine Learning - Spring 20

d2l-pytorch

This is an attempt to modify Dive into Deep Learning, Berkeley STAT 157 (Spring 2019) textbook's code into PyTorch.

decision-trees-on-amazon-fine-food-reviews-dataset

Applying Decision Tree on Amazon Fine Food Reviews Dataset to classify whether the review is 'Positive' or 'Negative'.

deeplearningbook-notes

Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)

exploratory-data-analysis-on-haberman-survival-dataset

Performing Exploratory Data Analysis on Haberman's Survival Dataset

gbdt-and-rf-on-amazon-fine-food-reviews-dataset

Applying Random Forest (RF) and Gradient Boosting Decision Tree (GBDT) on Amazon Fine Food Reviews Dataset to classify whether the review is 'Positive' or 'Negative'.

getcards

Notebook to download machine learning flashcards

gs-quantify2017

Winner's Solution for Machine learning problem

hr_bot

Simple HR bot built using Rasa

human-activity-recognition-problem

Applying RNN with multiple LSTM layers on a dataset which contains data collected by accelerometer and gyroscope sensors of mobile phone in order to classify the human activity into six different classes . Six different classes are - walking , sitting , standing , laying , walking upstairs and walking downstairs .

interview-help

islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

k-means-clustering-hierarchical-clustering-and-dbscan-on-amazon-fine-food-reviews-dataset

Here we will use all clustering techniques (unsupervised learning) on Amazon Fine Food reviews Dataset to group together all the similar reviews in a same cluster . Here we will apply k-means , k-means++ , k-medoids , Density-based spatial clustering of applications with noise (DBSCAN) and hierarchical clustering techniques on Amazon Food dataset to cluster reviews semantically

k-nn-on-amazon-fine-food-reviews-dataset

Applying KNN on Amazon Fine Food Reviews Dataset to classify whether the review is 'Positive' or 'Negative'.

kaggle-understanding-clouds

Code for 1st place solution in Understanding Clouds from Satellite Images Challenge.

lessons-learned-data-science-interviews

Lessons learned the hard way through over 30+ data science interviews

linkedin-skill-assessments-quizzes

Full reference of LinkedIn answers 2023 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel test lösungen, linkedin machine learning test LinkedIn test questions and answers

logistic-regression-on-amazon-fine-food-reviews-dataset

Applying Logistic Regression on Amazon Fine Food Reviews Dataset to classify whether the review is 'Positive' or 'Negative'.