geekquad/Time-Series-Prediction-from-Scratch geekquad/Time-Series-Prediction-from-Scratch

  • Stars
    star
    1
  • Language
    Jupyter Notebook
  • Created over 4 years ago
  • Updated over 4 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
geekquad/Time-Series-Prediction-from-Scratch
github

geekquad

Reviews

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

Repository Details

Training a simple RNN to do time-series prediction. Given some set of input data, it will be able to generate a prediction for the next time step.

More Repositories

1

AlgoBook

A beginner-friendly project to help you in open-source contributions. Data Structures & Algorithms in various programming languages Please leave a star ⭐ to support this project! ✨
Jupyter Notebook
301
star
2

Pixel-Processing

📷 This repository is focused on having various feature implementation of OpenCV in Python. The aim is to have a minimal implementation of all OpenCV features together, under one roof.
Jupyter Notebook
127
star
3

quiz.ai

An Encrypted Automatic Multiple-Choice Question Generator for Self-Assessment Using Natural Language Processing
HTML
18
star
4

Color-Recognizer

An application that provides color names and HTML/RGB mappings as output.
HTML
17
star
5

Fraud-Detection

A Person Of Interest identifier based on ENRON CORPUS data.
Jupyter Notebook
16
star
6

TEXTGEN

The main task of the character-level language model is to predict the next character given all previous characters in a sequence of data, i.e. generates text character by character.
Jupyter Notebook
10
star
7

StandSum

A PyPI package that does extractive text summarizer using Cosine Methods in NLTK.
Python
9
star
8

Deep-Dream

A computer vision program which uses a convolutional neural network to find and enhance patterns in images, thus creating a dream-like hallucinogenic appearance in the deliberately over-processed images.
Jupyter Notebook
5
star
9

Lung-Cancer-Detection

Data Science Bowl Challenge (DSB3)
Jupyter Notebook
3
star
10

Facial-Recognition-with-PCA

Face Recognition Implementation using PCA, eigenfaces, and SVM
Jupyter Notebook
3
star
11

Feature-Scaling

A package that can transform features by scaling each feature into a given range. This is more lightweight and easy to use than sklearn.preprocessing.MinMaxScaler
Python
3
star
12

Handwritten-Digit-MLP-Classification

Using Multi Layer Perceptron to build the model. Classifies the handwritten digits of the MNIST database with around 98% accuracy.
Jupyter Notebook
2
star
13

binogauss

A package that can calculate Gaussian as well as Binomial distributions.
Python
2
star
14

Titanic-Survival-Exploration

Very basic data exploration of the Titanic Dataset.
Jupyter Notebook
2
star
15

Customer-Segments

Analyzing a dataset containing data on various customers' annual spending amounts of diverse product categories for internal structure. Doing so would equip the distributor with insight into how to best structure their delivery service to meet the needs of each customer.
Jupyter Notebook
2
star
16

Lasso-Ridge-Regression-and-Elastic_Net-Regularization-from-Scratch

Basic implementation of Lasso, Ridge Regression and Elastic-Net Regularization.
Jupyter Notebook
2
star
17

Pencil-Sketch

Converts regular RGB images into Pencil-sketch.
Python
1
star
18

Random-Forest-from-Scratch

A basic implementation of the Random Forest Classifier from Scratch and using Seaborn to find important features.
Jupyter Notebook
1
star
19

Boston-Housing

Evaluating the performance and predictive power of a model. Cross questioned several concepts of ML for better understanding.
Jupyter Notebook
1
star
20

Flower-Prediction

Basic Iris Flower Prediction. Learning how to host ML models using Flask and deploy it using Heroku.
HTML
1
star
21

CIFAR-10

Object Recognition in Images. This project uses CNN for the classification and recognition tasks.
Jupyter Notebook
1
star
22

AdaBoost-from-Scratch

A basic implementation of AdaBoost algorithm from Scratch.
Jupyter Notebook
1
star
23

Phyllotaxis

A just for fun project.
Python
1
star
24

Text-Learning

Basic usage of NLTK. Implementation of concepts like Stemmer, TfIdf, and text.CountVectors
Jupyter Notebook
1
star
25

Automatic-Essay-Scoring

A recurrent neural network method for determining the relationship between an essay and its grade. Using Long-Short Term Memory networks to represent the meaning of texts to demonstrate that a fully automated framework is able to achieve results.
Jupyter Notebook
1
star
26

Classifying-Fashion-Clothes

Fashion-MNIST is a dataset of Zalando's article images, consisting of a training set of 60,000 examples and a test set of 10,000 examples. Each example is a 28x28, gray-scale image, associated with a label from 10 classes.
Jupyter Notebook
1
star