Name: Ajakaye Oluwole David
Type: User
Company: AI and Data Science (MSc) @Keele University
Bio: Telecommunication Engineer(Ericsson, Huawei, ZTE, Nokia-Alcatel, Routers) || Data Analyst || Python(Jupyter Notebook, PyCharm, VS Code) || SQL || ML
Location: Stoke-on-Trent, United Kingdom
Ajakaye Oluwole David's Projects
Analysis and visualization of activities such as "traffic per day on sent and received mails" ,"most frequently used words using WordCloud" on my Gmail account .
Emotion Recognition Using Convolutional Neural Network(CNN)
Python Functions with multiple arguments(Practical)
Property/Real Estate Price Prediction, Data Cleaning, Data Visualization, Feature Engineering, Outlier Removal, Machine Learning Model Building(one-hot encoding), Cross Validation/GridSearchCV/Sklearn
Entity-level sentiment analysis on YouTube comments using provided training and validation datasets. Given a comment and a specified entity (e.g., video ID or creator name), the task is to classify the sentiment of the comment as Positive, Negative, or Neutral, with messages irrelevant to the entity also categorized as Neutral.
The project aims to develop a deep learning/machine learning model capable of classifying various skin diseases, specifically acne, skin redness, and bags under the eyes, from images.
Using Standard Deviation and Z-Score to remove outlier
Stock Prediction using LSTM+Tensorflow