Derrick Kuria's repositories
PowerBI-Challenge
This is a dashboard for a challenge by Leonard Karpinski- Power BI Master (Youtube)
Data-Collection
This is a Repository for my talk about Data collection on DeeplearningAI
linkedin-skill-assessments-quizzes
Full reference of LinkedIn answers 2021 for skill assessments, LinkedIn test, questions and answers (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel test lösungen, linkedin machine learning test
Power-BI-Hacks
This is a Power BI File repository for all solutions that I think were worth a save
Practice--Machine--Learning
Machine Learning Bits and errors resolved.
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Artificial-Intelligence-books
This is a repository for AI and AI constituent books.
bash-for-beginners
Sample code for Bash for Beginners course
Data-Cleaning-
This is a Data cleaning presentation
data-engineering-zoomcamp
Free Data Engineering course!
data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
datasets
A collection of datasets of ML problem solving
DerrickKuria
Config files for my GitHub profile.
ds_salary_project
This is a report for the Data Science Salary for Data Science from Scratch. Inspired by Ken Jee
ML-YouTube-Courses
A repository to index and organize the latest machine learning courses found on YouTube.
mlops-zoomcamp
Free MLOps course from DataTalks.Club
Power-BI-Challenges
This is a repository to record Power BI Challenges
Power_BI-on-Colab
This is a trial of a dashboard on Google colabs
Python_Dash_VIsualisations
This is a python Dash Visuals created on Jupyter Notebooks.
Start-on-Tensorflow
This is an introductory practice on Tensorflow. You can follow through and get a smooth landing in Tensorflow.