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followers: 1.0 following: 3.0 repos: 59.0 gists: 0.0

Name: Clyd3

Type: User

Location: Toronto, ON.

Hello, I'm Clyde! 👋

About Me

I'm a data analyst with a knack for solving complex problems using data. I have intermediate programming skills in Python and JavaScript, and I'm deeply fascinated by AI and machine learning technologies.

My Skill Set

Languages: Python (for data analysis, and machine learning), JavaScript (for data visualization and web integration)
Data Analysis Tools: Pandas, NumPy, Matplotlib, Jupyter Notebooks, Google Colab
Machine Learning: Basic understanding of machine learning algorithms, TensorFlow or PyTorch
Data Visualization: Matplotlib, Seaborn, D3.js
Databases: SQL
Other Tools: Git, basic understanding of Docker

Connect with Me

LinkedIn: https://www.linkedin.com/in/clyde-mukanzi-39ba3810a/
Email: [email protected]

Interests in AI and Machine Learning

I'm currently exploring the fields of AI and machine learning, seeking to deepen my knowledge and apply these cutting-edge technologies in data analysis. I'm open to collaborating on projects in these areas.

GitHub Stats

Clyd3's Projects

2021z-datavisualizationtechniques

📊 Data Visualization Techniques course for DS studies in Winter 2020/21

aipnd

Code and associated files for the AI Programming with Python Nanodegree Program

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-for-beginners

A list of awesome beginners-friendly projects.

awesome-for-non-programmers

braintree_sql_coding_challenge_data_analyst

A Challenge To Test My SQL Skills For A Braintree Data Analyst Interview Process

clyd3

complete-data-analytics-with-projects

This repository contains everything you need to become proficient in Data Analytics

complete-ml-ops

This repository contains everything you need to become proficient in MLOps

computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

copilotadventures

Copilot coding adventures

cv

data-science-best-resources

Carefully curated resource links for data science in one place

data-science-for-beginners

10 Weeks, 20 Lessons, Data Science for All!

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.