Ansu-John/Regression-Models

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Created about 4 years ago
Updated about 4 years ago

Ansu-John/Regression-Models

Ansu-John

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Build and evaluate various machine learning regression models using Python.

Movie-Recommender-System

Implementation of movie recommendation systems using Apache Spark ML alternating least squares (ALS)

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Logistic-Regression-with-Spark

Build and evaluate logistic regression model using PySpark 3.0.1 library.

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Classification-Models

Build and evaluate various machine learning classification models using Python.

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Linear-Regression-with-Spark

Build and evaluate linear regression model using PySpark 3.0.1 library.

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ML-Classification

Build and evaluate classification model using PySpark 3.0.1 library.

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Credit-Card-Fraud-Detection

Predict fraudulent credit card transactions using TensorFlow, Keras, K Neighbors, Decision Tree, SVM Regression and Logistic Regression classifiers .

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Ansu-John

Study-Materials

Study Materials prepared

Customer-Segmentation

Implement Customer segmentation using Python 3

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Big-Data-Analysis

Explore various Spark RDD / Dataframe operations using PySpark library.

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Deep-Learning-Classification

Implementation of image classification model to identify the class the input image belongs to.

Natural-Language-Processing

Explore various natural language processing models using Python.

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ML-Clustering

Build and evaluate clustering models using PySpark 3.0.1 library.

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MLlib-Working-with-Features

Extracting, transforming and selecting features using Spark MLlib

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