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Data Science Camp

17,750.00 15,749.00

👨‍💻 Your advancement in learning from the Industrial expert adds an additional perk to the experience and we can deliver insights from the industry to make you ready for the future.

We bring you the most demanded and trending content of Machine Learning, Deep learning, Neural networks, and Data Science Program. 😎

🤔 Pre-Requisite: Python Programmer – I

🔩 Projects: World Class projects from Facebook, Google and more.

🎓Duration: 7-9 Weeks (Depending upon Student’s Interest & Capabilities)

🤑 The practice question for each topic will be provided at the center and no additional fee needs to be paid for the same.

🧐 Individual Session will be a minimum of 2 Hr. Timing Division: 30-40 minutes on theory concepts, Rest 70-90 minutes of Practical Problem-Solving Session. Learn more 👇

How will you mine and scour?🛠🤖

  1. Python Programming
    1. Fundamentals
      1. Variables
      2. Input from the user
      3. String
      4. Number and Operators
      5. List
      6. Tuple
      7. Dictionaries
    2. Modules
      1. Math
      2. Random
    3. Conditional Statements
      1. If-Else Statements
      2. If-elif-else statements
      3. Nested Conditional Statements
      4. Logical & Relational Operators with Conditional Statements
    4. Loops
      1. While
      2. For
      3. Nested loops
      4. Break | Continue | Pass statements
    5. Functions
      1. Function arguments
      2. Lambda Functions
      3. Global and Local variable
    6. OOPs
    7. Error Handling
  2. Web Scrapping
    1. Beautiful Soup
    2. Selenium
  3. Data Science
    1. Super
    2. Unsuper
    3. Semi-super
    4. Reinforcement
  4. Machine Learning Algo
    1. Linear (Continuous)
    2. Log
    3. Naïve Bayes (TF IDF) (COW)
    4. SVM
    5. Decision tree
    6. Random Forest(insensible)
  5. EDA (80%)
  6. Deep Learning
    1. Linear (SGD)
    2. NN (Full Connected) – Back Prop
    3. CNN (Image Prop) – Self Driving (steering, speed)
      1. Classification (Vgg16, ResNet, inception)
        1. Multiclass
        2. Multi-Label
    4. Localization
    5. Object detection (tensor flow API)
        1. Mask RCNN
    6. Image Segmentation (UNet)
    7. Style Transfer
  7. CNN (text Classification) – IMDB Dataset
    1. Embedding
  8. Recommendation Engine
    1. Collaborative Filter
  9. Word Embedding
    1. Word2vec
    2. Glove
    3. Fast text (15 languages)
  10. Text Classification
  11. Seq 2 Seq (Google Research)
    1. GitHub summary
    2. French 2 English
    3. Attention
  12. Sentence Similarities
    1. Quora Similarity
  13. NER

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