Machine Learning Projects, Assignments

About:

1. Selection

    a) Define Class

    b) Define Input

2. Pre-processing

   a) Data cleaning removes the observations containing noise and those with

     missing data.

3. Transformation

    a) Principal Components Analysis PCA

    b) Standard normal deviate

4. Data Mining (classification and Regression)

    a) Artificial Neural Networks ANN

    b) Support Vector Machines SVM

    c) Clustering

    d) Logistic Regression

    e) Linear Regression

     f) k-Nearest Neighbour Classification     g) Naive Bayes

5. Interpretation/Evaluation

    a) Crossvalidation 

    b) Confusion Matrix

    c) ROC curve

    d ) Mean squared error MSE

     e) R 2



(If you want a more specific analysis  in this area, the service can be in a custom Offer)

Reviews

:

I have started working with Rahul and he has now become my regular ML engineer.

:

Very recommended Seller. He is able to solve all my Machine Learning problems. Regression, Classification, Neural network and many. The solution given by the seller was perfect and delivered quickly. Can't wait for next order.

: : :