Skip to content
MMKTECH CONSULTANTS
B32, F1, C-COLONY, MUTHU SUNDARI APARTMENTS, WATER TANK SOUTH STREET, PERUMALPURAM
Tirunelveli - 627007
+91 9840922213
Mon-Fri 10:00am-7:30pm
km301252@gmail.com
24 X 7 online support
Home
Predictive Analytics
Back to Basics
Correlation
Least Square Method
Regression – Basics
Learn EDA
Testing of Hypothesis
Pre-Processing
Handling of Missing Values
Categorical Encoding
Ordinal Encoder
Other Encoders
Binary Encoder
HashingEncoder
TargetEncoder
LeaveOneOut Encoder
FrequencyEncoding
ContrastEncoders
PolynomialEncoder
Feature Selection
Filter Methods
1.Variance
2. Correlation based
3 Anova (f Test)
4.Chi-Square
5.Univariate Selection
6.Mutual Information
Wrapper Method
1.Forward Selection
2. Backward Elimination
3.Exhaustive Search
Embedded Method
1. Decision Tree/RFC
2. Lasso(L1 Regularization)
3. Ridge (L2 Regularization)
Hybrid Selection
1.Recursive Elimination
2.Recursive Feature Addition
Deep Learning
tanH (Hyperbolic Tangent Activation)
Regressions
Simple Linear Regression
Using Excel
Using R
Using PSPP
Using Python-scipy.stats
Using statsmodels.api
Using Scikit-learn
Multiple Linear Regression
MLR Problem
Using Excel
Using Real Statistic Package
Using SPSS
Using Python
Logistic Regression
LR Problems
About
ebook
courses
Contact
Apply Now
Using Excel
USING EXCEL:
Descriptive Statistics: