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
    sajjad javed 1 month ago
    Learning
    Reply
    Hafiz Ghulam Murtaza 3 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 4 months ago
    sir very easy explain
    Reply
    javaria anam 5 months ago
    Ur teaching method is osm sir
    Reply
    Wajahat Ali 5 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 6 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 6 months ago
    it is good
    Reply
    shafiq ahmed 7 months ago
    easy way hy sir thank you very much khosh rahain aamin
    Reply
    shafiq ahmed 7 months ago
    Python has three mutable data structures: lists, dictionaries, and sets. Immutable data structures, on the other hand, are those that we cannot modify after their creation. The only basic built-in immutable data structure in Python is a tuple
    Reply
    shafiq ahmed 7 months ago
    yes
    Reply
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