Python for Machine Learning and Data Science Training
Learn how to use NumPy, Pandas, Seaborn , Matplotlib , Plotly , Scikit-Learn , Machine Learning, Tensorflow , and more!
30+ course
Explore new courses
Expert Instructors
Free Demo classes to find right instructors
Extra doubt clearing classes
Don't by shy, ask you doubts
₹ 18, 000
₹ 20,000
Discount 10 % off
This course includes
-
45 Days
-
Classroom Training
-
Full lifetime access
-
Certificate of Completion
-
Weekly, Monthly, Weekend classes
Weekly Courses
NumPy
-
7 – 10 Lecture
-
Weekend option available
-
Price : 4000 Rs.
NumPy Topics
-
a powerful N-dimensional array object
• sophisticated (broadcasting) functions
• tools for integrating C/C++ and Fortran code
• useful linear algebra, Fourier transform, and random number capabilities
Scipy
-
7 – 10 Lectures
-
Weekend option available
-
Price : 4000 Rs.
Scipy Topics
-
high-level scientific computing
-
File input/output: scipy.io
-
Special functions: scipy.special
-
Linear algebra operations: scipy.linalg
-
Interpolation: scipy.interpolate
-
Optimization and fit: scipy.optimize
-
Statistics and random numbers: scipy.stats
-
Numerical integration: scipy.integrate
-
Fast Fourier transforms: scipy.fftpack
-
Signal processing: scipy.signal
-
Image manipulation: scipy.ndimage
Matplotlib- Data visualization (R, ggplot)
-
10 – 15 Lecture
-
Weekend option available
-
Price : 6000 Rs.
Matplotlib – Data Visualization (R, ggplot) Topics
-
Understanding plt.subplots()
-
Basic plots
-
Advance plotting
-
Visualizing arrays with matplotlib
-
Plotting with the pandas + matplotlib combination
sklearn
-
15 – 20 Lecture
-
Weekend option available
-
Price : 7000 Rs.
sklearn Topics
-
Supervised learning algorithms
-
Unsupervised learning algorihms
-
Model selection and evaluation
-
Dataset transformations
-
Dataset loading utilities
-
Strategies to scale computationally: bigger data
Pandas
-
10 – 15 Lecture
-
Weekend option available
-
Price : 6000 Rs.
Pandas Topics
-
Arithmetic Operations
-
Grouping by a Categorical
-
Resample
-
Upsampling
-
Downsampling
-
Rolling and Expanding
-
Plotting
Complete Machine Learning Bootcamp in Python
Machine Learning for Beginners
-
20 – 25 Lectures
-
2 hours per day
-
Weekend option available
-
Price : 25000 Rs.
Topics we cover
-
Environment setup of python
-
Setting up machine learning environment (python)
-
Jupiter notebook , anaconda , other local environments
-
Arithmetic operators in Python: Python
-
Strings in Python: Python Basics
-
Lists, Tuples and Dictionaries: Python Basics
-
Working with Numpy
-
Working with pandas
-
Working with Matplotlib
-
Overview of Sklearn
-
Overview of different ML models
Data collection
-
Importing Data in Python
-
Data Exploration
-
The Dataset and the Data Dictionary
​​
Data preprocessing
-
Data conversions
-
Bivarient analysis /variable conversions -non Usable variables
-
Outliers
-
-EDA
-Missing value treatment
-Dummy value creation
-handling
-Correlation Analysis
-Test train split
-Bias Variance trade-off -
Feature engineering
-feature extraction
-catagorical data encoding
-onehotencoding
Model selection procedures
-
Regression
-
Decision tree(intro with implementation)
-
Bayesian(intro with implementation
-
SVM(intro with implementation)
Bonus projects
-
Classification on iris dataset
-
Disease prediction (diabetes dataset)
-
Image classification on hand written datasets