Cynthia Mghoi's Projects
A supervised learning model that helps identify which individuals are most likely to click on the ads in the blog.
Vs code theme
benchmark
Classifier and Regressor Simple Code for beginers
Exploratory data analysis which includes Univariate, Bivariate and multivariate analysis
This repository is a comprehensive collection of certificates, datasets, Jupyter notebooks, SQL queries, Python projects, and machine learning models for learning and practicing data science and machine learning.
Creating a model that allows Hass Consulting Company to accurately predict the sale of prices upon being provided with the predictor variables
Just reminding myself some html code for fun. Reminising the good ol' days!
building a model that determines whether or not the patient's symptoms indicate that the patient has hypothyroid.
REgression
Autolib analysis
A ML model that determines whether the flower is of class 'setosa', 'versicolor', or 'virginica' using the sepal length, sepal width, petal length and petal width for preditction.
Applying supervised learning algorithms such as regression, decision trees, KNN, SVM, naive Bayes, random forests to solving business problems.
ML using Tensor Flow
This is me learning how to quickly improve the quality of my models.
Config files for my GitHub profile.
A portfolio website showcasing my data science projects and skills, designed to demonstrate my expertise and passion for data analysis and machine learning.
A machine learning model that takes in an XML path as prompt and generates a description of the path.
DS14 Prep week 5 group project.
Elevated solutions LLC's proof of concept work on STS work for ease in document look up.
MTN Cote D'Ivorie Data Analysis
Data Cleaning and Exploratory Data Analysis using R programing Language
Creating a model that compares text items and decides whether they are similar in meaning.
Text translation moringa final project for machine learning module
Translating Kalenjin (Kenyan Local Language) to English
Applying Unsupervised learning algorithm and dimensionality reduction while solving business problems.