sanuamb Goto Github PK

algorithm_design_and_analysis

awesome-deep-learning-papers

The most cited deep learning papers

community_detection_link_prediction

Implemented girvan newman community detection alogrithm from scratch and Link prediction in Facebook network for 'Bill Gates' as test node with accuracy 80%

cryptocurrency_news_app

Developed a small cryptocurrency news website using Django and Boostrap

cs344

Introduction to Parallel Programming class code

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

design_and_analysis_algorithms_python

Design and Analysis of Algorithms

digital_signal_processing_in_machine_learning

Studied and implemented DSP algorithms to represent speech signals as structured features. Implemented source separation using Machine Learning Algorithms

e599-high-performance-big-data

E599 high performance big data

elo-merchant-category-recommendation-kaggle

Implemented Xgboost and Light GBM to predict customer loyalty score.

exploratory-data-analysis

Coursework on Exploratory Data Analysis with two mini-projects implemented

hello-world

information-retrieval

interview

Everything you need to prepare for your technical interview

intro_to_spark_and_sparkml

This repository contains spark coursework assignment and a Data Analysis mini-project performed using spark

machine-learning-algorithms---from-scratch

Adaboost, GMM, HMM, Independent_Component_Analysis, Kernel_PCA, Kmeans, MultiLayer_Perceptron, Multidimensional_Scaling, PCA, PLSI

machine-learning-algorithms---from-scratch-part2

Hierarchical_Clustering, Logisitc_Regression, Linear_Regression, KNN and Naive Bayes(with cv)

machine_learning_regression_coursera

machine_learning_scikit-learn

Basic ML algorithm learning using scitkit-learn library

network-science

This course is about graph analytics of various social networks. This repository contains assignments with self implemented codes for friendship paradox, Centrality measures for Networks, Community Detection within Networks. For Computations I have used Networkx python package and Gephi for Visualizations

parallel_programming_using_cuda

phoneme-classification-using-deep-learning

Implemented Phoneme Classification of a given audio Speech with DNN and LSTM using keras with tensorflow as backend.

pitch_estimation_using_dnn

porto-seguro-safe-driver-prediction

Built a binary classifier using various Machine Learning algorithms to predict whether a driver will claim insurance or not.

predict_accident_prone_area_using_spark

Machine Learning Classification Problem Implemented using SparkML

predicting-footfall

This dataset contains a lot of missing values. Executed some approaches to fill those by predicting them through machine learning models. Lastly fitted boosting algorithms to predict the footfall

predicting-rating-from-user-reviews-yelp

pytorch_tutorials

recommending-restaurants-yelp

sample