babatundeibukun

-A-BLOG-WEBSITE-

today , I am building blog website using all I learnt about bootstrap

Automating-job-aplications-on-Linkedin

I used Selenium web driver to drive chrome browser to automatically apply or save jobs on Linkedin . My codes will automatically log in for the user and then apply to jobs for them or save jobs for them .

DATA-VISUALIZATION-WITH-MATPLOTLIB

I've seen how to grab some raw data and create some interesting charts using Pandas and Matplotlib. I've used .groupby() to explore the number of posts and entries per programming language converted strings to Datetime objects with to_datetime() for easier plotting reshaped our DataFrame by converting categories to columns using .pivot() used .count() and isna().values.any() to look for NaN values in our DataFrame, which we then replaced using .fillna() created (multiple) line charts using .plot() with a for-loop styled our charts by changing the size, the labels, and the upper and lower bounds of our axis. added a legend to tell apart which line is which by colour smoothed out our time-series observations with .rolling().mean() and plotted them to better identify trends over time.

DAY-63-DATABASE-WITH-SQLITE-AND-SQLALCHEMY

Built my first project using my knowledge of database

DEEP-LEARNING-PROJECT---COMPUTER

I built a model that can predict when an image is upside down .

I-BUILT-MY-OWN-API-WITH-RESTFUL-ROUTING

I built my own API and API DOCUMENTATION with restful Routing

personal-webite

Today , I built a personal website for myself using HTML AND CSS.

Project-day-50---TinderBot

Today , I created a Tinderbot that can swipe just like an human.

project-day-57-Templating-with-Jinja-with-fflask-application

I built a simple blog website with my knowledge of API , Jinja , flask .

The-popular-snake-game

babatundeibukun/-Hybrid-Decision-Biasing-Learner-model-

Hybrid Decision Biasing-Learner model using the Q-learning RL framework

babatundeibukun/CTE-COMMON-TABLE-EXPRESSIONS-

I wrote SQL codes using WITH expressions.

babatundeibukun/Experience-replay-buffer-for-multiagent

This is the code file for the experience replay buffer experience for multiagent deep deterministic policy gradient

babatundeibukun/JOINS-UNIONS-etc

Performed joins on tables and also UNIONS

babatundeibukun/maddpg-contd

multiagents deep deterministic policy gradients , in this code file, in addition to the code for the experience replay buffer, i have updated the actor and critic networks and now i have also added a class for the agents , which has an actor network , a critic network but in this case , we are working with a global memory.

babatundeibukun/maddpg_full_code-

this repository is the full python code for the training of a multiagent actor-critic cooperative -competitive environments

babatundeibukun/Mixed-effect-model

Mixed effect models where I ran two models, the first model where the subjects have different intercepts and the second model where the subjects modeled with different slopes and intercepts

babatundeibukun/Mixed-linear-multiple-regression

Mixed linear multiple regression week 8 activities

babatundeibukun/Mnest-classification-with-Neural-net

Mnest classification with Neural net

babatundeibukun/PRINCIPAL-COMPONENT-ANALYSIS-PCA

A STEP BY STEP ANALYSIS OF THE PCA

babatundeibukun/QUERIES

Subqueries

babatundeibukun/reinforcement-learning

practicing how training a cartpole

babatundeibukun/reinforcement_learning_breakout

babatundeibukun/RL_model

babatundeibukun/RL_MODEL_simulation

babatundeibukun/Rogers_paradox_modelling

babatundeibukun/simple-social-learning-environment

a generative model of the bandit task. By defining the number of options, and providing the expected reward and variability for each option, we can define a function that takes an action and returns a reward. We provide the function in the code block below and generate payoffs for 25 random choices.

babatundeibukun/simple-social-learning-environment-contd

I built my own simple social learning environment and visually represented it in R . Codes are presented in this repository.

babatundeibukun/SQL-CHALLENGE

Part of the solution to the question

babatundeibukun/SQL-CODE-

I rewrote the code for sql challenge day 15

babatundeibukun/SQL-DATA-CLEANING

I performed several SQL data cleaning techniques like LEFT, RIGHT , POSITION, STRPOS

babatundeibukun/SQL-day-2

using case when to solve questions

babatundeibukun/sql-day1

common interview question

babatundeibukun/SQL-QUERIES-

This a query for a company called parch and porsey

babatundeibukun/sqp-practice-

solutions to sql challenge

babatundeibukun/stage-2-hng-

babatundeibukun/VALUE_SHAPING

babatundeibukun/value_shaping_model

babatundeibukun/WINDOWS-ON-SQL-ANALYSIS

performed percentages , row , rank and other window functions

babatundeibukun/zc_messaging