Anjolaoluwa Ajayi's Projects
Starting from August 1st, 2023, I'll begin the 110 days of machine learning challenge and I'll be storing all my projects and notebooks in this repository. Super excited to get started!
I analysed the data analyst jobs data set to find the some insights such as the most in demand data anlyst jobs, most competitive, and so on
A retrieval based chatbot for CS Group A.
This model was originally created on Kaggle, I made some contributions that enhanced an aspect of the code.
This model predicts the likelihood of a customer of a telecommunication company (MTN) to churn (discontinue using their services). It further visualizes some likely reasons as per the dataset given
Tried out this project to practice cross validation, EDA, early stopping, feature importance analysis, and so on.
A starter template for Equinor data science / data engineering projects
This project uses Machine Learning to classify feedback for a food delivery company, providing sentiment analysis and identifying influential words for improvement. I also used web scraping to collect real-world data to test the model.
Collection of free courses with certificates
A library that automates the whole process of text generation with Recurrent Neural Network.
I created a 5 point system cgpa calculator using python
This is the code for my portfolio. Inspo and code gotten from @aayushmnit.
A python program that prompts users to guess the 'magic number' which would be within a certain range. The magic number is chosen by the random library, the user wins if he guesses this random number after two trials.
A python program that generate strong random passwords depending on the length the user wants
I built an end-to-end BI project, with beautiful visualizations, clickable buttons, responsiveness, and actionable steps on marketing and sales strategy. I made use of SQL Server and SSMS to build the database, DAX to create new measures, and Power BI for the visualization.
A python program that converts any temperature to any temperature
I did this fun project to scrape a website for SEO Keywords related to cloud technology. I faced a major challenge that required a very simple solution, all explained in the notebook!
I conducted analysis and built a predictive model for a food recipe website that wants to increase their web traffic by displaying recipes that will lead to high traffic. Precision: .865 This project is my submission for DataCamp's professional Data Scientist certification.
This python program uses the random library to shuffle words and asks the user to unscramble it to win