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
    afifa gilani 3 weeks ago
    | Feature | List | Tuple | Set | Dict | | ----------------------------- | ---- | ----- | --- | ---- | | Stores multiple items | ✅ | ✅ | ✅ | ✅ | | Can be looped | ✅ | ✅ | ✅ | ✅ | | Can store mixed types | ✅ | ✅ | ✅ | ✅ | | Allows membership test (`in`) | ✅ | ✅ | ✅ | ✅ |
    Reply
    Rashid Hussain 1 month ago
    wonderful
    Reply
    sajjad javed 5 months ago
    Learning
    Reply
    Hafiz Ghulam Murtaza 7 months ago
    List:Mutable: Aap ismein changes kar sakte hain.Ordered: Aitebaar ke saath tarteeb di gayi.Duplicates Allowed: Doosri martaba istemal ho sakta hai.Indexed Access: Index ka istemal karke items ko access kar sakte hain.Tuple:Immutable: Ek martaba ban gayi tou tabsiraat nahi kar sakte.Ordered: Tarteeb di gayi hai.Duplicates Allowed: Doosri martaba istemal ho sakta hai.Indexed Access: Index ka istemal karke items ko access kar sakte hain.Set:Mutable: Aap ismein changes kar sakte hain.Unordered: Koi tarteeb nahi hai.No Duplicates: Sirf unique items hote hain.Unindexed Access: Index ka istemal nahi kar sakte.Dictionary:Mutable: Aap ismein tabsiraat (changes) kar sakte hain.Unordered (Python 3.6 aur pehle) / Ordered (Python 3.7+): Python 3.7 se onwards order preserve hota hai.No Duplicate Keys: Har key unique hai, magar values duplicate ho sakti hain.Key-Value Access: Keys ka istemal karke items ko access kar sakte hain.
    Reply
    Hassan raza 7 months ago
    sir very easy explain
    Reply
    javaria anam 9 months ago
    Ur teaching method is osm sir
    Reply
    Wajahat Ali 9 months ago
    # Data structures# List (mutable , ordered , Accept duplicate , Access by index)list = ["orange" , "apple" , "banana" , "banana"] print(list) print(list[2])list[2] = "papita" print(list) print(list[2])# Tuples (immutable , ordered , Accept duplicate , Access by index) tuple = (1 , 2 , 3 , 4 , 5 , 6 , 2) print(tuple) print(tuple[6])# Sets (Muteable , unordered , no duplicate , not access by index)set = {1 , 3 , 5 ,7} print(set) set.add(13) print(set)# Dictionaries(Muteable , ordered , just allow values duplicate not key , accessed by key)dict = {"babar" : 56 , "Shaheen" : 10 , "Nawaz" : 10 , }dict["Nawaz"] = 68 print(dict)
    Reply
    Muhammad Bilal Dar 10 months ago
    list are ordered and set is unordered, list has index and set has not, set remove duplicate automatically and list accept duplicates
    Reply
    Muhammad Usman Afzal 10 months ago
    it is good
    Reply
    shafiq ahmed 10 months ago
    easy way hy sir thank you very much khosh rahain aamin
    Reply
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