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MITx-Exam4
Integer optimization practices, with ~60 constrains.
Real fun with actual implementations.
With that, I declare the wrap up of this AMAZING course :)
MITx-Exam3
Playing with kmeans clustering and trying to group customers based on their behaviours (unsupervised learning)
MITx-Exam2
Another encore --> Done with the 2nd part of the exam
Having fun and a lot of trials with CART and Cross-validation to calculate model accuracy.
MITx-Exam1
Finished writing codes + answering question of the 1st exam in this amazing course!
MITxUnit9-IntegerOptimization
A bit similar to the previous week but using constrained (integers) as variables.
Fun, and am very satisfied for the past 9 weeks. =))
MITx-week8-LinearOpt
Practiced and learned a lot to use linear optimization in spreadsheet software.
Most important are:
- defining problems and variables
- setting up correct constraints and objectives
MITxUnit7-Visualization
Gentle intros and exercises to:
- maps, merge
- ggplot
- wordcloud
- data analysis and plots modification and arts :))
MITxUnit6-Clustering
Learned 2 most clustering techniques:
- Hierarchical Clustering with dendograms plot + scree plot
- kmeans Clustering, by defining centroids
MITxUnit5-Text Analytics
Possibly one of the most computationally demanding weeks at MIT analytics edge so far. Lessons learned:
- Using 3 machine learning models (CART, logistic regression and random Forest) to predict outcomes
- Played a bit with text analytics (natural language comprehension)
- bear witness the powerful IBM Watson
MITxUnit4_ClassificationAndRegressionTrees(CART)
This week is a blast! I learned how to use:
- logistic regression
- regression trees
- random forest
and tuning parameters to improve models' accuracy! =))
MITxUnit3_logisticRegression
Three separate homework for week 3: all experiments and some codes to finish the job!
MITxUnit2_LinearRegression
I finished 3 main tasks in this assignment.
The core part is using linear regression model to predict dependent variables and to test how independent variables affect the strength of our model.
Learned a lot!
Takeaways from Week 2 Analytics Edge
Some reruns of the simulations, after and while watching the lectures!
MITxUnit1_Quizzes
This is the solution for Analytics EDGE MITx Course
Feel free to study but not distribute it elsewhere
MITx - Intro To Analytics
First week lessons recap
Playing with data table
My first trial with interactive table that can be downloaded as csv or excel file