xbabs,Toluwase Babalola,thBabs,github

Hello 👋

I'm Toluwase Babalola, a highly motivated AI and Data Science professional with a passion for leveraging cutting-edge technologies to solve complex problems.

💻 SKILLS

My skillset spans a wide range of programming languages, including Python, SQL, and C++. I am proficient in various libraries and frameworks such as NumPy, Sci-Py, Sci-Kit Learn, Seaborn, Matplotlib, Keras, TensorFlow, and PyTorch. Additionally, I possess expertise in data mining, statistical analysis, business analysis, text and image classification, as well as data visualization and interpretation.

🚀 FEATURED PROJECTS:

Malicious URL detection using Google's BERT and LSTM
Estimated Stock Percentage Prediction
A multiple linear regression model to predict systolic blood pressure in maternal health.
Detecting CO2 emission in motor vehicles
Customer Data Pre-Processing

🔭 I’m currently learning and working on Natural Language Processing, Transformers and image analysis

👯 I’m looking to collaborate on open-source projects on model development, building and deployment for production.

Feel free to explore my repositories to delve deeper into my projects, view code samples, and explore my contributions.

Toluwase Babalola's Projects

calculator

A simple calculator

customer-data-preprocessing

This repository describes data importation, data cleaning, data visualization and data presentation for proper analysis. This is a mandatory process to develop a model for better output.

data-science-projects

Data Science projects on various problem statements and datasets using Data Analysis, Machine Learning Algorithms, Deep Learning Algorithms, Natural Language Processing, Business Intelligence concepts by Python

detecting-malicious-urls-using-google-s-bert-and-lstm-models

In this project, I developed and compared two models, LSTM and Pre-trained BERT, for the task of detecting malicious webpages. The dataset used for training and evaluation was unbalanced, consisting of 522,214 entries with a train-test split of 70% to 30%.

fuel-consumption-rating-detecting-co2-emissions-in-motor-vehicles

Reduced fuel consumption is thus an important step toward combating climate change and promoting sustainable development. However, a machine learning model was developed to predict and analyze CO2 emissions.

github-slideshow

A robot powered training repository :robot:

ivy

The Unified AI Framework

ml-for-beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

optimized-model-with-ml

Predictive model for Customer claim amount - Nigerian Insurance System

toluwase-babalola-portfolio

A Portfolio Web Application For Toluwase-Babalola

uk-census---predicting-development-and-investment

This project was carried out to analyze and predict best development measures to be taken using the United Kingdom. The data used was from the 2022 census, which will advice public leaders or private professionals to determine the aspect of the town should be developed and what investment could be made to improve growth and development.

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