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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