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absenteeism-module

Case Study: Applying Machine Learning to create the 'absenteeism-module '

basic-python-jupyter-files

Basic Python files

business-case-example-using-tf1.14

You were given data from an audio book app. It relates to the audio version of books. Each customer in the database has made a purchase at least once. We want to create a ML algorithm based on our data that can predict if a customer will buy again from the audio book company? The main idea is the company shouldn't spend its advertising budget targeting individuals who are unlikely to come back. If we focus our efforts on customers likely to convert again. We can improved sales and profitability efforts.

data-structure

decisiontreeclassifier-projects

descriptive-statistics

Mean, Median, Mode, Variance, Standard Deviation, Co-variance, Correlation Coefficient

different-projects

english-thesaurus

etl-pipeline

helloprojects

hypothesis

Hypothesis testing

inferential-statistics

Normal Distribution, Standard normal distribution,Central Limit Theorem,Standard Error, Estimator and Estimates,Confidence Intervals, Z-score.z-statistics, t-statistics

kmeans-clustering

Excercises with solutions

learn-python-the-hard-way-files-

linear-regression-project

logisticregression-projects

mnist-dataset-using-tensorflow1.14

MNIST dataset consists of 70,000 images of handwritten digits. Since we have 10 digits, we have 10 classes from 0-9. Our subject is to build an algorithm that takes input as image and the correctly determines which number shown in that image.

nlp-with-python

All basic workings in NLP

personal-website-with-python

preprocessing-absenteeism-data

Data Preprocessing : a group of operations that will convert the raw-data into a format that is easier to understand and hence, useful for further processing and analysis.

probability

probabilty questions

python

Python Programs, packages used are Pandas, NumPy, Matplotlib, Seaborn for data Manipulation and visualization

random_numbers-python-

Use of SystemRandom, numpy random

repl-python-programs

tableau

web-scrapping

There is an increase in demand for getting data from the internet from various clients and these data can concern for different purposes. For instance you need property data from a Real Estate Website. We need to scrap data for different purposes and the process is called web scapping. Python is perfect for web scrapping, we can store them in a table such as Pandas DataFrame and then it can be exported to csv file.