Pinned Repositories
20-restaurant-sales
This is an open source project for the stage E of the Hamoye Data Science Internship program, cohort 2020, with real life applications in the health, engineering, demography, education and technology.
Apache-Spark
Big data processing.
California-housing-dataset
Classification-algorithms-in-ML
Xgboost, Lightgbm and so forth
Image-recognition-in-Python
Using the keras library, i created a CNN with 2 hidden layers and width of 128 neurons. I used the 'Dropout' regularization and used 'adam' as my optimizer. this model differentiated image samples into cats and dogs with an accuracy of 90 percent.
Linear-regression-on-Energy-consumption-dataset
all codes used.
Machine-Learning-Algorithms-testing.-
In this project, I tested multiple classification algorithms to find the best one based on metrics. reports provided in project
stage-f-13-disease-outbreak
text-analysis
Machine Learning and NLP: Text Classification using python, scikit-learn and NLTK
Time-series-analysis.
Evaluating household power consumption.
jonahbanks1's Repositories
jonahbanks1/Image-recognition-in-Python
Using the keras library, i created a CNN with 2 hidden layers and width of 128 neurons. I used the 'Dropout' regularization and used 'adam' as my optimizer. this model differentiated image samples into cats and dogs with an accuracy of 90 percent.
jonahbanks1/20-restaurant-sales
This is an open source project for the stage E of the Hamoye Data Science Internship program, cohort 2020, with real life applications in the health, engineering, demography, education and technology.
jonahbanks1/Classification-algorithms-in-ML
Xgboost, Lightgbm and so forth
jonahbanks1/Linear-regression-on-Energy-consumption-dataset
all codes used.
jonahbanks1/Machine-Learning-Algorithms-testing.-
In this project, I tested multiple classification algorithms to find the best one based on metrics. reports provided in project
jonahbanks1/stage-f-13-disease-outbreak
jonahbanks1/text-analysis
Machine Learning and NLP: Text Classification using python, scikit-learn and NLTK
jonahbanks1/Time-series-analysis.
Evaluating household power consumption.
jonahbanks1/Apache-Spark
Big data processing.
jonahbanks1/California-housing-dataset
jonahbanks1/claimed
jonahbanks1/Deep-Learning-with-Pytorch
jonahbanks1/ETL
Python codes for etl dump
jonahbanks1/hng.tech
HNG 5.0 Project :fire:
jonahbanks1/Instagram-Follower-Scraper
Scrapes all the data of followers of any instagram account
jonahbanks1/ivy
Unified AI
jonahbanks1/Jonah-portfolio-site
data analytics portfolio
jonahbanks1/jonahbanks1
Config files for my GitHub profile.
jonahbanks1/jonahbanks1.github.io
jonahbanks1/NLP_app
pickle rick
jonahbanks1/POWER-BI
jonahbanks1/Regression-project-2
Exploring regression in python
jonahbanks1/REINFORCEMENT-LEARNING
jonahbanks1/SocialBuzz-data-Analysis-and-viz
Accenture via Forage
jonahbanks1/SOFTWARE-ENGINEERING
jonahbanks1/tiny_python_projects
Code for Tiny Python Projects (Manning, 2020, ISBN 1617297518). Learning Python through test-driven development of games and puzzles.
jonahbanks1/Yolo-v5-Project
Computer vision project using Yolo v5