Technics Publications

Data Science and Machine Learning


Data Science and Machine Learning

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Data Science and Machine Learning

Follow along with machine learning expert Advait Jayant through a combination of lecture and hands-on and master the practical aspects of data science and machine learning. Over 50 hours of instruction cover all aspects of the craft.

Topics covered include:

  • Recurrent Neural Networks
  • Advanced Convolutional Neural Networks (CNNs) and Transfer Learning
  • Advanced Data Acquisition using Python Scrapy
  • Advanced Neural Networks
  • Bayes Theorem and the Naive Bayes Classifier
  • Building Web Crawlers for Data Acquisition with Python Scrapy
  • Closed Form Solution of Linear Regression and Locally Weighted Regressions (LOWESS)
  • Convolutional Neural Networks (CNNs)
  • Data Visualization and Data Generation using Python and Matplotlib
  • Facial Detection and Recognition using OpenCV (BONUS: Create your own Snapchat Filter!)
  • Linear Algebra Made Simple
  • Managing Large Datasets using Convolutional Neural Networks (CNNs)
  • Manipulating Matrices using NumPy
  • Markov Chains for Text Generation (NLP)
  • Multivariate Linear Regression (Multiple-Linear Regression) Complete Guide
  • Naive Bayes Classifier Advanced Concepts
  • Probability Distribution, Statistics, and Data Analysis using Pandas
  • Using Python to Master the Concepts of Object Oriented Programming (OOP), File Handling, and Iteration


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