Pinned Repositories
cec-benchmark-2013-python
for testing metaheuristic algorithm which is specific for continuous search spaces like Particle Swarm optimizations, Differential evolutions, etc, one can be sure about the performances of algorithm bt testing them in this benchmark. benchmark has been defined by IEEE World Congress on Computational Intelligence in C++. then developers implemented them in MATLAB and R. Now I have implemented them in Python as these language getting hit between data scientists a lot. I hope you find it useful.
Skill_Suggestion
Use GPT API to Extract skills for jobs (skills are suggested by GPT model), based on industry!
chatbot
test
IBM-Interview-DataScience-Hackerrank-code-assesment
Python, SQL 2 question of IBM code assessments in hackerrank
PSO-IBM-Cloud
Restart_PSO
dc.js
Multi-Dimensional charting built to work natively with crossfilter rendered with d3.js
Drivers_Hours
IMDB_Insight_BICaseStudy
practice
Naeemeh146's Repositories
Naeemeh146/cec-benchmark-2013-python
for testing metaheuristic algorithm which is specific for continuous search spaces like Particle Swarm optimizations, Differential evolutions, etc, one can be sure about the performances of algorithm bt testing them in this benchmark. benchmark has been defined by IEEE World Congress on Computational Intelligence in C++. then developers implemented them in MATLAB and R. Now I have implemented them in Python as these language getting hit between data scientists a lot. I hope you find it useful.
Naeemeh146/IBM-Interview-DataScience-Hackerrank-code-assesment
Python, SQL 2 question of IBM code assessments in hackerrank
Naeemeh146/Skill_Suggestion
Use GPT API to Extract skills for jobs (skills are suggested by GPT model), based on industry!
Naeemeh146/chatbot
test
Naeemeh146/dc.js
Multi-Dimensional charting built to work natively with crossfilter rendered with d3.js
Naeemeh146/Drivers_Hours
Naeemeh146/practice
Naeemeh146/PSO-IBM-Cloud
Naeemeh146/Restart_PSO
Naeemeh146/stanford-cs229
🤖 Exercise answers to the problem sets from the 2017 machine learning course cs229 by Andrew Ng at Stanford