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advanced-machine-learning-and-signal-processing-ibm

Advanced Machine Learning and Signal Processing IBM

applied-ai-with-deep-learning-by-ibm-coursera

assignment-04-simple-linear-regression-2

Assignment-04-Simple-Linear-Regression-2. Q2) Salary_hike -> Build a prediction model for Salary_hike Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization. Correlation Analysis. Model Building. Model Testing. Model Predictions.

big-data

big data finance

bike-sharing

A simple guide of R Shiny to analyze, explore, and predict bike-sharing registrations.

breast_cancer_classification

# Breast Cancer Classification Breast cancer is a common cancer in women, and one of the major causes of death among women around the world. Invasive ductal carcinoma (IDC) is the most widespread type of breast cancer with about 80% of all diagnosed cases. IDC is cancer that began growing in a milk duct and has invaded the fibrous or fatty tissue of the breast outside of the duct. Early accurate diagnosis plays an important role in choosing the right treatment plan and improving survival rate among the patients. In recent years, efforts have been made to predict and detect all types of cancers by employing artificial intelligence. An appropriate dataset is the first essential step to achieve such a goal. This paper introduces a histopathological microscopy image dataset of 922 images related to 124 patients with IDC. The dataset has been published and is accessible through the web at: http://databiox.com. The distinctive feature of this dataset as compared to similar ones is that it contains an equal number of specimens from each of three grades of IDC, which leads to approximately 50 specimens for each grade.  ## Introduction In Kenya, cancer is the third leading cause of death after infectious and cardiovascular diseases. From 2012 to 2018, the annual incidence of cancer increased from 37,000 to 47,887 new cases.7 During the same period, annual cancer mortality rose almost 16%, from 28,500 to 32,987 cancer-related deaths. The number of new cancer cases is expected to rise by more than 120% over the next 2 decades.

building-predictive-models-with-machine-learning-and-python-

Building Predictive Models with Machine Learning and Python[Video], published by Packt

churn_model

This project aims to build a classification model to predict which customers will churn

churn_prediction

clinflow-a-shiny-app-for-exploring-longitudinal-clinical-data

A Shiny app for exploratory analysis and unsupervised learning of longitudinal (clinical) data.

coursera-developing-data-products

Repo for Coursera.com online course: Developing Data Products

coursera-projects

This repository contains all the Data science specialization projects

courses-introduction-to-python

Introduction to Python by Filip Schouwenaars

courses-introduction-to-sql

Introduction to SQL by Nick Carchedi

cousera

cousera-capstone-project

cousera3

credit_score_analysis

cv

cv

danieljjjjjj

Config files for my GitHub profile.

dascot-r-shiny-app

data-science-ibm

repository for IBM Data Science Professional Certificate @ Coursera

datasciencecoursera

datasciencecoursera-1

Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.

demystifying-customer-satisfaction-for-a-hotel

Project for IST687 Applied Data Science- School of Information Studies, Syracuse University

developing-data-products

Developing data products

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

final-project-submission

NLP

fundamentals-of-scalable-data-science

Solved assignments of coursera's Fundamentals of scalable data science course

glovo-api-python

Glovo Business API for Python