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Raj Singh's Projects

librosa icon librosa

Python library for audio and music analysis

lightgbm icon lightgbm

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

linkedin-skill-assessments-quizzes icon linkedin-skill-assessments-quizzes

Full reference of LinkedIn answers 2021 for skill assessments, LinkedIn test, questions and answers (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, css, python, machine-learning, power-poin, excel ...) ответы на квиз, LinkedIn quiz lösungen, linkedin quiz las respuestas

lists icon lists

The definitive list of lists (of lists) curated on GitHub

lm icon lm

A github repo for the advanced linear models for data science book

logitdatascience icon logitdatascience

Material from the Logit Data Science Bootcamp in Los Angeles, CA, June-Sep 2016

lstm-fcn icon lstm-fcn

Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification

ma611project icon ma611project

Classifier for Images of Dog and Cats: A Web Application

machine-learning-1 icon machine-learning-1

A research repository for source code that implements machine learning methods to solve tasks related to navigation within the Greennav project

machine-learning-and-quantitative-analysis icon machine-learning-and-quantitative-analysis

💰Step by steps to explore and analysis the data, build model by utilizing machine learning model or deep learning model, the tools include numpy, pandas,scipy,sklearn,tensorflow etc, or big data analysis with Apache Spark.

machine-learning-classification icon machine-learning-classification

Built classifiers using logistic regression and decision trees to classify product reviews and used machine learning techniques such as boosting, precision and recall, and stochastic gradient descent for optimization in Python

machine-learning-clustering-retrieval icon machine-learning-clustering-retrieval

Built text and image clustering models using unsupervised machine learning algorithms such as nearest neighbors, k means, LDA , and used techniques such as expectation maximization, locality sensitive hashing, and gibbs sampling in Python

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