Allika Tech - Krishnakanth Allika

Krishnakanth Allika

I am a data science enthusiast. I created this web site to post my notes and code as I journey through various topics of data science.

Data Science Focus Areas

Data Science

Data Scraping, Data Pre-processing, Missing values, Imputation, Rescaling, Data Manipulation, Dimension reduction, Data Visualization, Descriptive Statistics, Exploratory Data Analysis (EDA), ...

Machine Learning

Feature Engineering, Principal Component Analysis (PCA), Classification, Clustering, Linear Regression, Logistic Regression, Naive Bayes, KNN, Decision Tree, K-Means, Supervised learning, Unsupervised learning, Support Vector Machines (SVM), ...

Deep Learning

Artificial Neural Networks (ANN), Activation functions (ReLu, Softmax, etc), Feed Forward Networks, Convolution Neural Networks (CNN), Recurring Neural Networks (RNN), Convolution Graph Network (CGN), Natural Language Processing, Speech to text, Reinforcement Learning, Machine Translation, ...

Statistics

Experiment Design, A/B Testing, Regression modeling, Probability Distributions, Frequentist approach, Bayesian approach, Central Tendencies, Descriptive statistics, Inferential statistics, Correlation, Hypothesis Testing, ...

Python

Matplotlib, Seaborn, NumPy, SciPy, Pandas, Scikit-Learn, Statsmodels, NLTK, PyTorch, pyTesseract, Keras, BeautifulSoup, TensorFlow, XGBoost, ...

R

Swirl, Tidyverse (dplyr, tidyr, etc), ggplot2, Shiny, Caret, Knitr, Lubridate, BioConductor, mlr3, XGBoost, ...

Julia

DataFrames, Plots, ScikitLearn, PyCall, RCall, Knet, TensorFlow, MXNet, DecisionTree, Clustering, Merlin, MachineLearning, MLDatasets, MLKernels, ...