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Organized Desk

My Skill Set

Skills: Skills

Python Language

  • Variables, Operator, Loops, Module, File, OOPS, Web Scrapping, Error handling, Flask, DBMS


  • Analytics With Python - Numpy, Pandas, Visualization

Machine Learning

EDA and preprocessing
Regression Algorithms - Linear Regression, Polynomial Regression, Ridge & Lasso Regression
Classification algorithms - Naive Bayes, KNN, Logistic Regression, Decision tree, Random Forest
Boosting - Adaptive, Gradient, XG boosting

Deep Learning

Neural Network Architecture,
Optimizer - Gradient descent, Stochastic gradient descent, Mini-batch gradient descent, AdaGrad, AdaDelta,  Adam
Activation functions - Linear, Sigmoid, Tanh, Softmax, Relu, Leaky-relu

C Language

variables, loops, operators,

Natural Language Processing

Text mining, Text preprocessing, Count Vectorization, TF- IDF.

Sequential Model - RRN model, LSTM model, GRU model

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© created by Priya Dinkar Raut

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