yash0422 Goto Github PK
Name: Vishal Desai
Type: User
Company: Emirates International Investment in Real Estate
Location: Pune (India)
Blog: [email protected]
Name: Vishal Desai
Type: User
Company: Emirates International Investment in Real Estate
Location: Pune (India)
Blog: [email protected]
Image & Speech Processing | Perceptrons (MLP) | Autoencoders - seq2seq | Generative Adversarial Networks (GAN) | Convolutional Neural Network (CNN & DCNN) | Recurrent Neural Networks (RNN): LSM | LSTM | GRU
Functional Programming | Apache Spark Framework | Spark RDDs | DataFrames and Spark SQL | Machine Learning using Spark MLlib | Apache Kafka and Apache Flume | Apache Spark Streaming
This folder have variety of Datasets to use & practise Data Science Model, Analytics & Insight, Visualization in Tableau!
Machine Learning Projects
Python_Learning
Machine Learning in Python & R | All Model from A to Z
Files from Microsoft Certified: Azure Data Scientist Associate
ML Models Deployment in production/prediction phase.
Experimenting by using Multiple ML Model
SUPERVISED LEARNING: REGRESSION: Linear - Polynomial - Ridge/Lasso CLASSIFICATION: K-NN - Naïve Bayes - Decision Tree - Logistic Regression - Confusion Matrix - SVM TIME SERIES ANALYSIS: Linear & Logistic Regr. - Autoregressive Model - ARIMA - Naïve - Smoothing Technique UNSUPERVISED LEARNING: CLUSTERING: K-Means - Agglomerative - Mean-Shift - Fuzzy C-Mean - DBSCAN - Hierarchical - Canopy DIMENSION REDUCTION: PCA - LSA - SVD - LDA - t-SNE PATTERN SEARCH: Apriori - FP-Growth - Euclat RECOMMENDATION ENGINE: Association Rules - Market Basket Analysis - Apriori Algorithm - Real Rating Matrix - IBCF - (Item) - User-Based Collaborative Filtering UBCF - Method & Model ENSEMBLE METHODS: BOOSTING: AdaBoost - XG Boost - LightGBM - CatBoost. BAGGING: Random Forest STACKING
Basic Python - Every Champion is a beginner sometime, don't underestimate the POWER of BASICS!
PYTHON for APACHE SPARK [PYSPARK] | Big Data Hadoop & Spark | Apache Spark Framework | Spark RDDS | Dataframes & Spark SQL | ML using Spark MLLIB | Apache Kafka & Flume | Spark Streaming
R Programming: ML, Text Mining, WordCloud - Uni/Bi/Tri-Graph, Sentiment Analysis, SVM, Recommendation Engine, TF-IDF, Time Series, UBCF, Association Rule, Market Basket Analysis,
Tableau Analysis & Visualization with Business Problem & Dataset: Aggregation | Granuality | Customer Segmentation Dashboard | Data Blending | Table Calculation | Data Joining & Connection | Level of Details (LOD) Expressions Geographic Visualizations.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.