Shradhhaj-AI-World

ANN_Customer_Retention_Prediction

To predict which of the customers are at highest risk of leaving

Car_License_plate_recognition

CNN_Hand_written_Digit_Recognition

Recognize handwritten digits using Convolutional Neural Network algorithm working with MNIST dataset

Detect_Salary_RF

Detect/Deside Salary of Employees based of various factors such as age, experience, qualification etc.

Iris_Flowers_Distribution

Iris Flowers Distribution Using K-Means Clustering

NLP_Sentiment_Analysis

Detect the positive, neutral, and negative sentiment about movie using Natural Language Processing algorithm

NN_Bike_Demands_Per_Area

Finds the hourly demand of bikes by riders per area. Helpful to detect sell of product as per Geographic Location

TF_Entity_Recognition

Classify named entity mentions in unstructured text into Pre-defined categories such as the person names, organizations, locations etc.

Shradhhaj-AI-World/Car_License_plate_recognition

Shradhhaj-AI-World/ANN_Customer_Retention_Prediction

To predict which of the customers are at highest risk of leaving

Shradhhaj-AI-World/CNN_Hand_written_Digit_Recognition

Recognize handwritten digits using Convolutional Neural Network algorithm working with MNIST dataset

Shradhhaj-AI-World/Detect_Salary_RF

Detect/Deside Salary of Employees based of various factors such as age, experience, qualification etc.

Shradhhaj-AI-World/Iris_Flowers_Distribution

Iris Flowers Distribution Using K-Means Clustering

Shradhhaj-AI-World/NLP_Sentiment_Analysis

Detect the positive, neutral, and negative sentiment about movie using Natural Language Processing algorithm

Shradhhaj-AI-World/NN_Bike_Demands_Per_Area

Finds the hourly demand of bikes by riders per area. Helpful to detect sell of product as per Geographic Location

Shradhhaj-AI-World/TF_Entity_Recognition

Classify named entity mentions in unstructured text into Pre-defined categories such as the person names, organizations, locations etc.