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
    Muhammad_Faizan 2 weeks ago
    I learned Probability Sampling, Non- Probability Sampling and its types: * Probability Sampling: 1: Simple Random Sampling (lucky draw) 2: Systematic Sampling (nth individual) 3: Stratified Sampling (smaller groups, Stratas) 4: Cluster Sampling ( Groups, then randomly select group for sampling)* Non- Probability Sampling: 1: Convenience Sampling (janny waly or phr unsy agy koi janny waly) 2: Haphazard Sampling (jo jahan mil jaey) 3: Purposive/ Judgemental Sampling (jab maqsad mojod ho) 4: Snowball Sampling (same as convenience, like a networking web) 5: Quota Sampling (same as Strata sampling, but non-random)
    Reply
    Rana Anjum Sharif 2 months ago
    Done
    Reply
    kashan malik 5 months ago
    DONE
    Reply
    Shahid Umar 7 months ago
    Watching lecture videos is important but reading materials on the blog is also helpful for my better understanding
    Reply
    Sibtain Ali 7 months ago
    I learned Probability sampling and Non-probability sampling.
    Reply
    tayyab Ali 7 months ago
    I learned Probability sampling and Non-Probability sampling.
    Reply
    Najeeb Ullah 7 months ago
    done
    Reply
    Mr. Arshad 7 months ago
    jazakullah kharn
    Reply
    Javed Ali 7 months ago
    AOA, I learned in this lecture about representative (probability, which is the chance to select for everyone) and non-representative (non-probability, which is the chance to select someone) and also learned about judgmental sampling, snowball sampling, and quota sampling. ALLAH PAK ap ko dono jahan ki bhalian aata kry AAMEEN.
    Reply
    Zohaib Zeeshan 1 week ago
    AMEEN
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