Ansu-John/Logistic-Regression-with-Spark

Stars
3
Rank 3,963,521 (Top 79 %)
Language
Jupyter Notebook
License
MIT License
Created about 4 years ago
Updated about 4 years ago

Ansu-John/Logistic-Regression-with-Spark

Ansu-John

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Build and evaluate logistic regression model using PySpark 3.0.1 library.

Movie-Recommender-System

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

Jupyter Notebook

Classification-Models

Build and evaluate various machine learning classification models using Python.

Jupyter Notebook

Regression-Models

Build and evaluate various machine learning regression models using Python.

Jupyter Notebook

Linear-Regression-with-Spark

Build and evaluate linear regression model using PySpark 3.0.1 library.

Jupyter Notebook

ML-Classification

Build and evaluate classification model using PySpark 3.0.1 library.

Jupyter Notebook

Credit-Card-Fraud-Detection

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

Jupyter Notebook

Ansu-John

Study-Materials

Study Materials prepared

Customer-Segmentation

Implement Customer segmentation using Python 3

Jupyter Notebook

Big-Data-Analysis

Explore various Spark RDD / Dataframe operations using PySpark library.

Jupyter Notebook

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.

Jupyter Notebook

ML-Clustering

Build and evaluate clustering models using PySpark 3.0.1 library.

Jupyter Notebook

MLlib-Working-with-Features

Extracting, transforming and selecting features using Spark MLlib

Jupyter Notebook