pratmo Goto Github PK

50-startup-prob-multi-regression

A Prediction Model for profit of 50 Startups Companies using Multiple Linear Regression Machine Learning Algorithm.

airquality-descrip-r-plots

Analyzing the daily air quality measurement in New York City with descriptive statistics plots in R.

apriori-algo-association-rules

Association rules using the Apriori algorithm in the Titanic dataset.

attorney-claims-logistic-regression

An insurance company wants to know how likely it is that a claimant will hire an attorney. The Logistic Regression Machine Learning Model is used.

books-association-rules

Association rules using the Apriori algorithm to set rules for book purchases.

ca-housing-python-explore

Exploring the data drawn from the U.S. Census report on California housing block groups using descriptive stats in Python.

cancer-diagnostics-t-sne

Using t-SNE to identify the similar patterns in the cancer dataset from Wisconsin Hospital, USA.

computer-guess-my-num-game

Let computer guess what number you are thinking game in python.

crime-usa-hierarchical-clustering-ml

Identifying the similarities in crime data from USA and thus forming clusters using hierarchical clustering ML methodology. We also plot the dendrogram for this data. We used the 'ward' method.

dbscan-airline-customers

Using DBSCAN for clustering and identifying the outliers to predict which East-West airline's frequent flier programme a consumer belongs to in order to target different types of mileage offers.

dbscan-clustering-usa-crime

Identifying the similarities and outliers in crime data from USA and thus forming clusters using DBSCAN ML algorithm.

dbscan-wholesale-cust

Testing out DBSCAN ML algorithm to get the clusters from the wholesale grocery data.

dplyr-nycflights-r

Transform and summarize the information about flights that departed New York City in 2013 using the dplyr package in R.

eastwestairlines-filer-hierarchical-ml

To predict which East-West airline's frequent flier programme a consumer belongs to in order to target different types of mileage offers using hierarchical clustering ML technique.

eda-encoding-isolation

EDA - Label Encoding | One Hot Encoding | Isolation Forest | PPF

extract_reviews.py

Personal Project File

feature-engg-methods

Feature Engineering techniques using Univariate Feature Selection (Chi Square Test, SelectKBest), Recursive Feature Elimination (RFE) Logistic Regression, and Tree based feature selection.

git-test-new-ip

glass-classify-ml-knn

Preparing a Machine Learning Model for glass classification using KNN Algorithm.

guess-the-num-game-cpu

Guess the random number that the computer is thinking using python.

hierarchical-clustering-univdata-ml

Using hierarchical clustering machine learning algorithm to solve a student's admission problem to an undergraduate programme at a business school

horry-putter-madlib-game

Horry Putter madlib game using python.

iris-decision-trees-c-5.0

Classifying the IRIS flowers using the Decision Trees C5.0 Technique.

jupyter-night-mode

Python code to invoke night mode for Jupyter Notebook

k-means-clustering-airline-customers

To predict which East-West airline's frequent flier programme a consumer belongs to in order to target different types of mileage offers using K-means clustering ML technique.

k-means-ml-stu-admission

Using K-means clustering ML algorithm to solve a student's admission problem to an undergraduate programme at a business school

logistic-regression-bank-deposit

Develop a machine learning model to predict whether the bank's client would subscribe to a term deposit or not. We used Logistic Regression.

ml_from_scratch

Implementation of basic ML algorithms from scratch in python...

model-validation-techs

Validation Techniques for Machine Learning Models - a. Train Test Split, b. K-fold CV and c. LOO CV

movie-recommendation

Building a Movie Recommendation Engine using Cosine Based Similarity Algorithm.