intelligencedrive Goto Github PK

120-ds-interview-questions

My Answer to 120 Data Science Interview Questions

a-b_testing

Comparing the lift in the subscription rate between the control and personalized contents across marketing channels, and conducting two sample t-test to determine if the difference is statistically significant.

advanced_machine_learning

MSAN630 Advanced Machine Learning course work series

algorithmic-trading-python

The repository for freeCodeCamp's YouTube course, Algorithmic Trading in Python

amazon-sagemaker-architecting-for-ml

Materials for a 2-day instructor led course on applying machine learning

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

classification-thanks-to-the-svm-model-with-7-years-of-ozone-data-with-machine-learning

I developed 2 machine learning software that predict and classify ozone day and non-ozone day. The working principle of the two is similar but there are differences. I got the dataset from ics.icu. Each software has a different mathematical model, Gaussian RBF and Linear Kernel, and classifications are visualized in different ways. I would be happy to present the software to you!

crossvalidation_knn

cs230-code-examples

Code examples in pyTorch and Tensorflow for CS230

cs231n.github.io

Public facing notes page

customer-churn-w-logistic-regression

Utilizing tools such as Spark, Python (PySpark), SQL, and Databricks, performed logistic regression on customers to predict those at a higher risk of churning, then applied the model to an unseen "new customers" data set.

data-analysis

Data Science Using Python

data-visualization-with-python

Data visualization is the visual presentation of data or information. The goal of data visualization is to communicate data or information clearly and effectively to readers. Typically, data is visualized in the form of a chart, infographic, diagram or map.

data_science_industrial_practice

《数据科学工程实践》一书的Jupyter Notebook库，以及交流园地。

datascienceprojects

ds-take-home

My solution to the book A Collection of Data Science Take-Home Challenges

e-commerce-marketing

gcloud

Google Cloud tutorial and setup

intro2stats

Introduction to Statistics using Python

k-mean

‘Iris’ dataset, predict the optimum number of clusters and represent it visually.

k-means-clustering-from-scratch

K-Means

lending-club-loan-analysis

Lending Club Historical Loan Analysis and Modeling

lstm-forecasting

How to use PyTorch LSTMs for time series regression

machine-learning

Practical Full-Stack Machine Learning

mall_customer_segmentation

Quick EDA on a data set to determine what segments there are.

market_analysis_professional_portfolio

A culmination of work completed during Bellevue University's Master of Data Science program and side projects while working at Forbes Media.

marketing-analysis-with-python

marketing metrics analysis, A/B test and ttest, CLTV calculation

marketing-analytics

Analysing the marketing data of a particular store and gaining insights, which will be useful for decision making.

marketing-analytics-python

Marketing analytics analysis and exercises done in Python

marketing-campaign-analytics

Marekting campaign analytics by using machine leraning for classification and clustering