Course Content
How and Why to Register
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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
    Muhammad_Faizan 3 days ago
    I learned about types of Sampling: 1: Representative Sampling 2: Non- Representative Sampling--> In Non- Non-representative sampling we have: 1: Convenience Sampling (Janny waly logo sy sample lena or unsy agy logo tak pohanchna). 2: Haphazed Sampling (Jo Jahan Mily us sy data collect krna). 3: Purposive Sampling (Ksi maqsad ko ly k sampling krna).
    Reply
    Muhammad Rameez 1 month ago
    Done
    Reply
    Rana Anjum Sharif 1 month ago
    Done
    Reply
    Muhammad Rizwan 4 months ago
    I learn about Representative and non-representative sampling
    Reply
    kashan malik 4 months ago
    DONE SIR sampling types Representative and Non Representative Types
    Reply
    Shahid Umar 6 months ago
    In this lecture, I learned representative sampling and non-representative sampling both are necessary for the collection of data which define your main goal.
    Reply
    tayyab Ali 6 months ago
    I learned Types of sampling (Representative sampling and Non-representative sampling.)
    Reply
    Sibtain Ali 6 months ago
    I learned Types of sampling (Representative sampling, and Non-representative sampling)
    Reply
    Mr. Arshad 6 months ago
    thanks
    Reply
    Javed Ali 6 months ago
    AOA, I learned in this lecture about types of sampling (representative and non-representative) and also learned about simple random sampling, systematic sampling, stratified sampling, cluster sampling in representative sampling and non-representative sampling, convenience sampling, haphazard sampling, and purposive sampling. ALLAH PAK ap ko dono jahan ki bhalian aata kry AAMEEN.
    Reply
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