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 about hypotheses and Ho(null hypothesis) and H1(Alternative hypothesis). Whenever we do any test, we get P_Value. If P0.05 then we fail to reject the Ho.
    Reply
    Rana Anjum Sharif 2 months ago
    Done
    Reply
    FEROZ SHAH 5 months ago
    learned the Ho and H1
    Reply
    Shahid Umar 7 months ago
    When p value is p0.05 then we can say Ho is "Failed to reject".
    Reply
    Shahid Umar 7 months ago
    When p value is p0.05 then we declare that Ho is "Failed to reject".
    Reply
    Javed Ali 7 months ago
    AOA, I learned in this lecture about hypothesis testing (writing statements before starting any project) and also the null hypothesis (denoted by H0 “female which is equal to male”) and alternative hypothesis (denoted by H1 “female which is not equal to male”). I also learned about the steps of hypotheses: making null hypotheses and alternative hypotheses, and then going toward data collection to test the hypotheses After that, we applied statistical analysis, calculated the result, and did the reporting. ALLAH KAREEM ap ko dono jahan ki bhalaian ata kry AAMEEN.
    Reply
    Sibtain Ali 7 months ago
    I learned the Null Hypothesis and Alternate Hypothesis.
    Reply
    tayyab Ali 7 months ago
    I learned the Null Hypothesis and Alternate Hypothesis.
    Reply
    Najeeb Ullah 7 months ago
    done
    Reply
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