Course Content
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Day-17: Complete EDA on Google PlayStore Apps
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Day-25: Quiz Time, Data Visualization-4
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Day-27: Data Scaling/Normalization/standardization and Encoding
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Day-30: NumPy (Part-3)
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Day-31: NumPy (Part-4)
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Day-32a: NumPy (Part-5)
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Day-32b: Data Preprocessing / Data Wrangling
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Day-37: Algebra in Data Science
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Day-56: Statistics for Data Science (Part-5)
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Day-69: Machine Learning (Part-3)
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Day-75: Machine Learning (Part-9)
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Day-81: Machine Learning (Part-15)-Evaluation Metrics
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Day-82: Machine Learning (Part-16)-Metrics for Classification
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Day-85: Machine Learning (Part-19)
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Day-89: Machine Learning (Part-23)
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Day-91: Machine Learning (Part-25)
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Day-93: Machine Learning (Part-27)
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Day-117: Deep Learning (Part-14)-Complete CNN Project
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Day-119: Deep Learning (Part-16)-Natural Language Processing (NLP)
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Day-121: Time Series Analysis (Part-1)
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Day-123: Time Series Analysis (Part-3)
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Day-128: Time Series Analysis (Part-8): Complete Project
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Day-129: git & GitHub Crash Course
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Day-131: Improving Machine/Deep Learning Model’s Performance
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Day-133: Transfer Learning and Pre-trained Models (Part-2)
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Day-134 Transfer Learning and Pre-trained Models (Part-3)
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Day-137: Generative AI (Part-3)
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Day-139: Generative AI (Part-5)-Tensorboard
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Day-145: Streamlit for webapp development and deployment (Part-1)
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Day-146: Streamlit for webapp development and deployment (Part-2)
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Day-147: Streamlit for webapp development and deployment (Part-3)
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Day-148: Streamlit for webapp development and deployment (Part-4)
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Day-149: Streamlit for webapp development and deployment (Part-5)
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Day-150: Streamlit for webapp development and deployment (Part-6)
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Day-151: Streamlit for webapp development and deployment (Part-7)
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Day-152: Streamlit for webapp development and deployment (Part-8)
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Day-153: Streamlit for webapp development and deployment (Part-9)
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Day-154: Streamlit for webapp development and deployment (Part-10)
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Day-155: Streamlit for webapp development and deployment (Part-11)
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Day-156: Streamlit for webapp development and deployment (Part-12)
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Day-157: Streamlit for webapp development and deployment (Part-13)
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How to Earn using Data Science and AI skills
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Day-160: Flask for web app development (Part-3)
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Day-161: Flask for web app development (Part-4)
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Day-162: Flask for web app development (Part-5)
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Day-163: Flask for web app development (Part-6)
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Day-164: Flask for web app development (Part-7)
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Day-165: Flask for web app deployment (Part-8)
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Day-167: FastAPI (Part-2)
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Day-168: FastAPI (Part-3)
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Day-169: FastAPI (Part-4)
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Day-170: FastAPI (Part-5)
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Day-171: FastAPI (Part-6)
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Day-174: FastAPI (Part-9)
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Six months of AI and Data Science Mentorship Program
    Join the conversation
    Syeda Naheed Abbas 6 days ago
    I have already installed these libraries successfully, thanks.
    Reply
    Liaqat Ali 5 months ago
    I have install openpyexcel
    Reply
    Ilya Haider 6 months ago
    sir plz share ur discord's chanale
    Reply
    Ilya Haider 6 months ago
    sir mera run nahi ho raha
    Reply
    Aiman Mukhtar 7 months ago
    please guide me on how to add the ml_env virtual environment in the VS code.
    Reply
    yousuf jawwad 6 months ago
    but sir i done this but not working i think somethime there is an issue with vs code so install it again then may be work
    Fawad Ali 6 months ago
    Ans How to select Kernel in VS code:Press Ctrl+Shift+P then paste conda env file path in Python select interpreter
    Mr. Arshad 8 months ago
    sir mery vs code me ml env not show horah ha please hlpe when i fallow you then thers pessage to install python but i already install python
    Reply
    Fawad Ali 6 months ago
    How to select Kernel in VS code:Press Ctrl+Shift+P then paste conda env file path in Python select interpreter
    Faisal Ali 8 months ago
    Jab aap VS Code python use kar rahe to aap "!" ka use karke terminal mein commands ko execute kar sakte hain. Isse aapko VS Code ki GUI ko chhodkar command-line tools ka use karne mein madad milti hai.
    Reply
    Sadia Ibrahim 8 months ago
    Done
    Reply
    Sadia Ibrahim 8 months ago
    In VS Code, the exclamation mark (!) is used as a shorthand to execute shell commands directly within the integrated terminal. By prefixing a command with !
    Reply
    Rashad Masud 8 months ago
    good
    Reply
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