Weekend Data Science Classes in Python with Deep Learning, Machine Learning, Artificial Neural Networks Modelling-Calgary, Calgary, Saturday, 03. November 2018

**This is an online event**
Training will start on 3rd November and end on 25th November. Every Saturday and Sunday Morning (  11 AM EST ) classes for 2 hours with Live Instructor from Banglore and Toronto.
*Meeting URL will be sent separately -- Don't panic if you don't see as part of Event Ticket*

Where: Virtual
When: 3rd November 2018 - 25th November 2018  ( 11 AM EST )
Instructor: Shailendra Pathak, Chandan Kumar
Content: 
General Admission is ($349.00)
Tired of Cookie cutter AI/Machine learning course?  We feel your pain where Instructor is worse than Wikipedia?
Don't get fooled by all cookie cutter courses where they only talk about ready to use Libraries and tools, our program is a ground up approach where we teach the Math behind each algorithm and then teach how to code it in Python. No programming experience needed as we will teach you Python as well.
Each module will have task and assignment ( home work) so that you could apply what you learned. All solved assignments are posted next week. We also provide Interview preparation at end of the session.
All students are eligible for life long support via our forums Q/A. 
 
Who is the target audience?


No programming experience is required.


Downloading and installing IDE and tools are included in the course


High-school Math and willingness to learn



Intro and set up






Setting up python at your machines


introducing python IDE






Basics about python






Basics about python and its advantages


How python handles data


Lists, arrays and dataframes


types of data and variables - float, int


Dictionaries


Loops and inumeration variables









Data Handling and mining in python with example






Importing csv files


Writing external files


Functions


Intro to libraries like scipy, numpy, pandas etc









Descriptive analysis using Python






Summarising basic data -- Mean, Median , percentiles etc


Creating new variables in a dataframe


group by using SQL in python


aggreagation using python functions


Practical example and exercise









Linear regression using Python - OLS regression






Creating covariance matrix of variables


correlation and multicollinearity


Assumptions of OLS and its interpretation


R-square and goodness of fit


Practical Development of a OLS model and its performance evaluation






Logistic Regression using python - Probability distributions and Parametric modeling






Introduction to the concept of probability distributions


Dummy variables


Difference between OLS and a proababilistic model like logistic


Hosmer-Lemeshov statistics and KS statistics and concordance


Practical Development of a logistic model and its performance evaluation









Intro to Machine learnign and Deep learning concepts - Non-parametric modeling






Difference from parametric modeling


Classes of machine learning models - supervised learning and unsupervised learning


What is the logic behind neural networks


What are classification trees


Random forests and gradient boosting - an introduction









Practical example of Random Forest modeling






Practical development of a RF model using data


Model parameter interpretation


Model performance evaluation - AUC and ROC


Model tuning









Practical example of Artificial Neural Networks modeling






Practical development of a ANN model using data


Model parameter interpretation


Model performance evaluation - AUC and ROC


Model tuning






Practical example of Stochastic Gradient Boosting Models






Practical development of a GBM model using data


Model parameter interpretation


Model performance evaluation - AUC and ROC


Model tuning


REFUND POLICY


100% refund only, if you can't attend it due to medical emergencies with proof.


If the training has not been conducted for any reason, full refund.


if you just change your mind then you will be assigned to next batch.


Contact us at training@becloudready.com for any questions. Group discounts are available. Corporate training is also available. 
See our course catalog at -

Saturday, 03. November 2018, Calgary, Weekend Data Science Classes in Python with Deep Learning, Machine Learning, Artificial Neural Networks Modelling-Calgary

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