Course Content
How and Why to Register
Dear, to register for the 6 months AI and Data Science Mentorship Program, click this link and fill the form give there: https://shorturl.at/fuMX6
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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
    Zohaib Zeeshan 2 months ago
    good
    Reply
    Muhammad_Faizan 2 months ago
    Number theory, though theoretical, finds practical applications in: 1. Cryptography: Securing communications and transactions. 2. Computer Science: Algorithm design and coding theory. 3. Combinatorics: Analyzing permutations and combinations. 4. Internet Security: Establishing secure connections online. 5. Number Theory Algorithms: Primality testing and integer factorization. 6. Physics: Quantum mechanics and string theory. 7. Finance and Economics: Market analysis and algorithmic trading. 8. Error Detection: Ensuring data integrity in digital systems. 9. Biomedical Engineering: Analyzing biological sequences and medical imaging.
    Reply
    Muhammad_Faizan 2 months ago
    Number theory, though theoretical, finds practical applications in:1. Cryptography: Securing communications and transactions. 2. Computer Science: Algorithm design and coding theory. 3. Combinatorics: Analyzing permutations and combinations. 4. Internet Security: Establishing secure connections online. 5. Number Theory Algorithms: Primality testing and integer factorization. 6. **Physics**: Quantum mechanics and string theory. 7. **Finance and Economics**: Market analysis and algorithmic trading. 8. **Error Detection**: Ensuring data integrity in digital systems. 9. **Biomedical Engineering**: Analyzing biological sequences and medical imaging.
    Reply
    Attaul Wahab 5 months ago
    Done
    Reply
    DANISH AMMAR 7 months ago
    DONE LECTURE
    Reply
    FEROZ SHAH 6 months ago
    already watched it on channel
    Javed Ali 7 months ago
    AOA, Applications of Number Theory in Data Science | Zero-to-Math series #zerotomath is done with practice.
    Reply
    Sibtain Ali 8 months ago
    done
    Reply
    Shahid Umar 8 months ago
    Number theory is useful in the study of binary codes and other related concepts. Overall number theory is extremely useful for applied mathematicians and physicists. Number theory also gives us nearly perfect predictions from the data.
    Reply
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