100DaysOfML

I'm Posting the advances at Medium and twitter

https://medium.com/@crunchyML

https://twitter.com/CrunchyML

Day 1, Basic statics

Posted at https://medium.com/@crunchyML/data-types-basic-statistics-for-machine-learning-1-7053db93ba6

Day 2, Random and Systematica error

Posted at https://medium.com/@crunchyML/random-and-systematica-error-f6206169894f

Day 3, Basic Probability

Posted at https://medium.com/@crunchyML/probability-for-machine-learning-basic-probability-972be946ba53

Day 4, From Probability to Bayes Theorem

Posted at https://medium.com/@crunchyML/from-probability-to-bayes-theorem-6a07f06f91b8

Day 5, Statistics For Machine Learning: Measures of Central Tendency

Posted at https://medium.com/@crunchyML/statistics-for-machine-learning-measures-of-central-tendency-2b333029249f

Day 6, Statistics for machine learning: Measures of Dispersion

Posted at https://medium.com/@crunchyML/statistics-for-machine-learning-measures-of-dispersion-d3859aa52cfc

Day 7, Inferential Statistics: Normal and Binomial Distributions

Posted at https://medium.com/@crunchyML/inferential-statistics-probability-distributions-65b410ad5aef

Day 8, Probability vs Non Probability Sampling

Posted at https://medium.com/@crunchyML/probability-vs-nonprobability-sampling-5e0e93b43ac1

Day 9, Central Limit Theorem

Posted at https://medium.com/@crunchyML/central-limit-theorem-5c7e7799f263

Day 10, Hypothesis testing

Posted at https://medium.com/@crunchyML/hypothesis-testing-ec0defe3e1b7

Day 11, EDA on Categorical and Ordinal Data

Posted at https://medium.com/@crunchyML/eda-on-categorical-and-ordinal-data-22f8a4407836

Day 12, Pearson Correlation Coefficient

Posted at https://t.co/O68t3XYVyN?amp=1

Day 13, Introduction to systems of equations and vectors

Posted at https://medium.com/@crunchyML/introduction-to-systems-of-equations-and-vectors-2dba1f1a67d8

Day 14, Matrix determinants

Posted at https://medium.com/@crunchyML/matrix-determinants-6823bc94b0cf

Day 15, Matrix methods for solving systems of equations

Posted at https://medium.com/@crunchyML/matrix-methods-for-solving-systems-of-equations-c2c9965d965f

Day 16, Matrix multiplication and inversion

Posted at https://medium.com/@crunchyML/matrix-multiplication-and-inversion-43f3922e74da

Day 17, Cofactors, Minors, and Laplace’s Theorem

Posted at https://medium.com/@crunchyML/cofactors-minors-and-laplaces-theorem-c3a093544cc1

Day 18, Linear dependence between columns of a matrix

Posted at https://medium.com/@crunchyML/linear-dependence-between-columns-of-a-matrix-79ba3cb1b70c

Day 19, Linear spaces, the base of matrices calculations

Posted at https://medium.com/@crunchyML/linear-spaces-the-base-of-matrices-calculations-d37b66f5d2c3

Day 20, The rank of a matrix

Posted at https://medium.com/@crunchyML/the-rank-of-a-matrix-6bd15233223e

Day 21, Linear Functions of vector arguments

Posted at https://medium.com/@crunchyML/linear-functions-of-vector-arguments-784b69037ca3

Day 22, Range of linear operations, eigenvalues, and eigenvectors

Posted at https://medium.com/@crunchyML/range-of-linear-operations-eigenvalues-and-eigenvectors-65a2668eb508

Day 23, Functions, the base of Calculus

Posted at https://medium.com/@crunchyML/functions-the-base-of-calculus-5ec37d25b691

Day 24, Limits, the base of derivates

Posted at https://medium.com/@crunchyML/limits-the-base-of-derivates-e823b073305f

Day 25, Continous functions

Posted at https://medium.com/@crunchyML/continuous-functions-cc1f341f1b91

Day 26, Continuous functions, three strong theorems

Posted at https://medium.com/@crunchyML/continuous-functions-three-strong-theorems-feab26bf0627

Day 27, Derivatives

Posted at https://medium.com/@crunchyML/derivatives-fe804cf17412

Day 28, Differentiation

Posted at https://medium.com/@crunchyML/differentiation-affc3cf43caf

Day 29, Significance of the derivative

Posted at https://medium.com/@crunchyML/significance-of-the-derivative-4c1f505e9b88

Day 30, Inverse Functions

Posted at https://medium.com/@crunchyML/inverse-functions-edda5240436f

Day 31, Integrals

Posted at https://medium.com/@crunchyML/integrals-d985465627fb

Day 32, The Fundamental theorem of calculus

Posted at https://medium.com/@crunchyML/the-fundamental-theorem-of-calculus-56dda18d2ac3

Day 33, Integration in elementary terms

Posted at https://medium.com/@crunchyML/integration-in-elementary-terms-2ad14e464105

Day 34, Machine learning project checklist

Posted at https://medium.com/@crunchyML/machine-learning-project-checklist-2645770ef027

Day 35, Explaining least-squares

Posted at https://medium.com/@crunchyML/explaining-least-squares-a911cca0b41

Day 36, Explaining subset selection and regularization methods for linear-squares

Posted at https://crunchyml.medium.com/explaining-subset-selection-and-regularization-methods-for-linear-squares-d88d1f2f8f95

Day 37, Subset selection models applied

Posted at https://crunchyml.medium.com/subset-selection-models-applied-bf1a6d7d164e

Day 38, Explaining subset selection and regularization methods for least-squares part-2

Posted at https://crunchyml.medium.com/explaining-subset-selection-and-regularization-methods-for-least-squares-part-2-895bd54ba85e

Day 39, Explaining subset selection and regularization methods for least-squares part-2

Posted at https://crunchyml.medium.com/the-basic-methods-for-classification-9c10a961b0ee

Day 40, Separating Hyperplanes for classification

Posted at https://crunchyml.medium.com/separating-hyperplanes-for-classification-52de4a1c5321