PratikhyaManas/Predict-Crime-Rate-in-Chicago PratikhyaManas/Predict-Crime-Rate-in-Chicago

  • Stars
    star
    1
  • Language
    Jupyter Notebook
  • Created almost 5 years ago
  • Updated almost 5 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
PratikhyaManas/Predict-Crime-Rate-in-Chicago
github

PratikhyaManas

Reviews

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

Repository Details

Predicting the Crime Rate in Chicago using Facebook's Open Source Software "Prophet".

More Repositories

1

Spam-Classifier-using-Naive-Bayes

The project main goal is to classify an email as spam or not using Naive Bayes Algorithm.
Jupyter Notebook
5
star
2

Finding-Lanes-Advanced-Driver-Assistance-System-ADAS

Lane Detection System using OpenCV and Python
Python
3
star
3

QuantizationInDeepLearning

This project is about using the Quantization-Aware Training method to train a keras model for Edge Devices
Jupyter Notebook
2
star
4

Avocado-Prices-Prediction

This project is about to predict the price of avocado sold in the US using historical dataset and Facebook Prophet(open source software released by Facebook’s Core Data Science team)
Jupyter Notebook
2
star
5

MarketBasketOptimisation

Using Apriori Algorithm for Market Basket Optimisation
Python
2
star
6

Credit-Card-Frauid-Detection-using-Deep-Learning

The objective of this project is to identify the fraudulent transactions happening in E-Commerce industry using deep learning.
Jupyter Notebook
2
star
7

Yelp-Review-Analysis-using-Natural-Language-Processing-NLP

In this project, Natural Language Processing (NLP) strategies will be used to analyze Yelp reviews data
Jupyter Notebook
2
star
8

Object_Tracking_APIs_Python

Jupyter Notebook
1
star
9

Generative-Adversial-Networks-GANs

Jupyter Notebook
1
star
10

Image-Segmentation-Using-UNET

Nuclei Image Segmentation using UNET
Python
1
star
11

Deep-Learning-on-ARM-Processors

Implementing Neural Networks on ARM Processors
C
1
star
12

Fake-News-Detection

In this project, a TFID Passive aggressive classifier is designed to detect fake news.
Jupyter Notebook
1
star
13

Traffic-Sign-Classification-Using-LeNet

In this project, a Deep Network known as LeNet will be used for traffic sign images classification.
Jupyter Notebook
1
star
14

Breast-Cancer-Classification

This project is to classify breast cancer using SVM-Classifier and further improving the model using GridSearch
Jupyter Notebook
1
star
15

Predict-Car-Purchasing-Amount-using-ANN

The project main goal is to obtain a relationship (model) between the Annual salary and car purchasing amount using Artificial Neural Network(ANN).
Jupyter Notebook
1
star
16

Fashion-Class-Classification

In this project, we use CNN to classify Fashion MNIST data into different categories.
Jupyter Notebook
1
star
17

Movie-Recommender-System

In this project, a movie recommendation system is built using Item-based Collaborative Filter.
Jupyter Notebook
1
star