Weekend Data Science Classes in Python with Deep Learning, Machine Learning, Artificial Neural Networks Modelling-Kansas City, KS

Saturday November 3

Kansas City | Missouri | United States

**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. https://www.becloudready.com/forum/questions   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 - https://www.becloudready.com/training