allanstar-byte/Image-Classification-using-MLP

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allanstar-byte/Image-Classification-using-MLP

allanstar-byte

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Using the fashion dataset we build an MLP model to predict the image category.

CHURN-_PREDICTION_TELECUMMUNICATION

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allanstar-byte

Config files for my GitHub profile.

KNN-and-Naive-bayes

The two note books are for KNN and Bayessian

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Default-of-Credit-Card-Clients.

Main Objective: To estimate the probability of defaulting on payment by a credit card client based on the historical data provided using supervised and unsupervised machine learning models.

Data-cleaning-and-analysis-on-the-Autolib-Dataset

Data cleaning and analysis on the Autolib Dataset

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Unsupervised-learning

The unsupervised learning is composed of Anomaly detection, Feature selection, Association Analysis and Dimensionality Reduction

Ad-and-Brand-analysis

ad and Russian brand analytics

Analysis-and-modelling-using-R-programming

Analytics-for-MTN-Cote-d-Ivoire-telecom-company

working as Data Scientist for MTN Cote d'Ivoire, a leading telecom company

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Bidirectional-Transformers-for-Language-Understanding

WORLD-HAPPINESS-SCORE

Research question: Can Freedom to make life choices/arrangements and Gdp per capita improve The Happiness Score?

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-MLOps-repository-of-free-talks-books-papers-and-more

Bankruptcy-Prediction

MACHINE-LEARNING

This repository will contain all the machine leaning content I have created.

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US_StocksAnalysis-Using-Rsqlite

Flatgo-Movies-Website

FlatGo Movies site

Analyzing-the-suicide-datasets-around-the-world

A group project on analyzing the suicide datasets around the world on different countries within different continents.

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Pasting-an-image-on-top-of-another

This project is geared to use pillow and cv library to remove image background and paste your image on another one to a location/coordinates of your wish.

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STATISTICS-FOR-MACHINE-DEEP-LEARNING

This repository contains statistics for machine learning. I have created this repository in order to help upcoming data scientists learn the statistics behind machine learning

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FINANCIAL-SERVICES

The research problem is to figure out how we can predict which individuals are most likely to have or use a bank account. Your solution will help provide an indication of the state of financial inclusion in Kenya, Rwanda, Tanzania, and Uganda, while providing insights into some of the key demographic factors that might drive individuals’ financial outcomes.

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BTRE

Hass-Consulting-Company

TO study the factors that affect housing prices using the given information on real estate properties that was collected over the past few months. Later onwards, create a model that would allow the company to accurately predict the sale of prices upon being provided with the predictor variables.

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Ad-analysis

The role of the analysis is to come up with recomendations which the entrepreneur will use to executed in order to identify the fertile areas to first invest on.

Detecting-Melanoma-Using-CNN

Problem statement To build a CNN based model which can accurately detect melanoma. Melanoma is a type of cancer that can be deadly if not detected early. It accounts for 75% of skin cancer deaths. A solution which can evaluate images and alert the dermatologists about the presence of melanoma has the potential to reduce a lot of manual effort needed in diagnosis.

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Autolib-electric-car-sharing-service-company-to-investigate-a-claim-about-the-blue-cars

The dataset from the Autolib Autolib electric car-sharing service company to investigate a claim about the blue cars. The main aim will be manifested on the blue cars returned, taken and the slots freed.

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FOOD-SECURITY

Our Project will shed some light on the nature of the challenges that agriculture and food systems are facing now and throughout the 21st century, and provides some insights as to what is at stake and what needs to be done. What emerges is that “business as usual” is no longer an option but calls for major transformations in agricultural systems, in rural economies and in how we manage our natural resources.

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