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To perform scientific & technical computing using SciPy package & its sub-packages such as Integrate, Optimize, Statisti...
Perform data analysis and manipulation using data structures and tools provided in Pandas package
Gain an in-depth understanding of supervised & unsupervised learning models like linear & logistic regression, clusterin...
Use Scikit-Learn package for natural language processing
How to use the matplotlib library of Python for data visualization
Extract useful data from websites by performing web scraping using Python
Integrate Python with Hadoop, Spark, and MapReduce
Master's concepts like Regression, K-Nearest Neighbors, Naive Bayes, Neural Networks Clustering, Network Analysis, Clas...
Lecture-1 Introduction to data science
Lecture-2 Statistical Analysis and Business Applications
Lecture-3 Python Programming
Lecture-4 Introduction To Statistics
Lecture-5 Pandas
Lecture-6 Mathematical Computing with Python (NumPy)
Lecture-7 The Scientific computing with Python (Scipy)
Lecture-8 Introduction to Machine Learning
Lecture-9 Machine Learning and Data Science Framework
Lecture-10 Data Science Environment Setup
Lecture-11 Matplotlib + Seaborn: Plotting and Data Visualization
Lecture-12 Scikit-learn: Creating Machine Learning Models
Lecture-13 - Scikit-learn - Regression Model
Lecture-14 - Scikit-learn – Classification
Lecture-15 K Means Clustering
Lecture-16 Text Mining
Lecture-17 Basic Time Series Forecasting
Lecture-18 Natural Language Processing, Text Mining & PCA
Lecture-19 Introduction to Deep Learning
Case Studies