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-immunotherapy-dataset-data-set-classification

amazon_dataset_pyspark_mongodb

binary-classification-sonar-deep-learning-project-for-the-navy

This is a dataset that describes sonar chirp returns bouncing off different services. The 60 input variables are the strength of the returns at different angles. It is a binary classification problem that requires a model to differentiate rocks from metal cylinders.

calculator-using-node

this web-app consist of a simple calculator which runs in a local server, takes in value of two numbers through form, adds both numbers and then returns the output on the web app.

capston-project-open-cv

chat-app-react

chat-application-react

computer-networks-project

data-structures-project-

Movie reviews in cpp

data-structures-sem-3

dropout-regularization-sonar-project-for-the-navy-mines-vs.-rock

Dropout is a technique where randomly selected neurons are ignored during training. They are “dropped-out” randomly. This means that their contribution to the activation of downstream neurons is temporally removed on the forward pass and any weight updates are not applied to the neuron on the backward pass.

ecommerece-webisite--manell

An ecommerce platform for people which will help them to buy and sell their products.

final-year-project-

flutter-my-first-app

FLutter app consist of basic layouts and navigators

flutter_app

FLutter app consist of basic layouts and navigators

hyperian

lnverse-random-undersampling-for-class-imbalence-problem

Research project that makes use of fraudulent german credit data to resolve class imbalance problems using IRUS (Inverse Random Undersampling) Algorithm. Through optimization, the algorithm was able to balance out occurrences of different classes in the dataset. Improved accuracy from 80% to 95%

mnist-cnn-model

movie-recommandation-system

movie-sentiment-analysis-data-structures

multi-class-classification-project

This is a multi-class classification problem, there are more than two classes to be predicted; three flower species. This is an important type of problem to work on with neural networks. This dataset consist of of the 4 input variables which are numeric variables. The iris flower dataset is a well-studied problem and as such we can expect to achieve model accuracy in the range of 95% to 97%.

mywebpage

online-food-delivery-system

Online food delivery system based on Object-oriented programming in C++.

open-cv-practice

opencv

Open Source Computer Vision Library

regression-house-pricing-deep-learning-project-

The dataset describes 13 numerical properties of houses in Boston suburbs and is concerned with modeling the price of houses in those suburbs in thousands of dollars. As such, this is a regression predictive modeling problem. Input attributes include things like crime rate, proportion of non retail business acres, chemical concentrations and more.

spam-and-ham-classifier

story

my master piece

trail

uni-material