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followers: 10.0 following: 7.0 repos: 29.0 gists: 0.0

Name: Mahrukh Waqar

Type: User

Company: N/A

Bio: A machine learning enthusiast and ML collaborator at Omdena. I have working on different projects which involve NLP and Deep Learning.

Location: Germany

👋 Hi, I’m @Mahrukh Waqar, a Data Science enthusiast.
👀 A quick overview about my technical skill stack is given below. o Technical: Python, TensorFlow, Keras, PyTorch, NumPy, SciPy, Pandas, Matplotlib, Seaborn, Skit Learn, SweetViz o Tools: Microsoft Office(Word, Power Point, Excel), PyCharm, ETL, Jupyter Notebook, Google Colab, Power BI, Tableau, Jira, GitHub o Interpersonal Skills and Interests: Team Player, Critical thinking, Problem-solving, Communication o Operating System: Windows, macOS
🌱 I’m currently learning new models and algorithms to work around.
💞️ I’m looking to collaborate on all sort of gigs related to machine learning.
📫 How to reach me at Linkedin(https://www.linkedin.com/in/mahrukhw/)

Mahrukh Waqar's Projects

ai-chatbot-for-people-affected-by-high-inflation

classification-problem

Classification Problem Using Linear Regression and Decision Tree

classification-using-logistic-regression

data-science-interview-questions-answers

data-science-interviews

Data science interview questions and answers

fifa-world-cup-2022-prediction

gpt-engineer

Specify what you want it to build, the AI asks for clarification, and then builds it.

handwrittendigits

Using Tensorflow and Keras to classify handwritten gigits

image-search-with-hugging-face-datasets

Dataset of delivery fleet driver data. For each driver we have two features: mean distance driven per day and the mean percentage of time a driver was >5 mph over the speed limit. 1. Run the K-Means algorithm on this dataset and find the optimal number of clusters. What insights can you gather from these clusters?

mahrukhw

Config files for my GitHub profile.

mahrukhw.github.io

Mahrukh Waqar's Portfolio

ml-debugging

mlops-automous-vehicle-perception

Use W&B Tables to log, query, and analyze tabular data. Understand your datasets, visualize model predictions, and share insights in a central dashboard. Compare changes precisely across models, epochs, or individual examples Understand higher-level patterns in your data Capture and communicate your insights with visual samples

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