PinnedApple ‘Foliar’ Disease Detection Analysis 🍎🌳Analyze the Plant Pathology 2020 dataset to build a CNN-based multi-class classification deep learning model that can predict the most common diseases in apple tree leaves. Table of Contents: General facts about Apple Trees The life cycle of an Apple Tree How does an Apple Tree propagate? What are some common Apple Diseases? …Biology21 min readBiology21 min read
Published in DataDrivenInvestor·PinnedMedicare Provider Fraud Detection Analysis 🩺 💰 🕵️Analyze the Claims, In-patient, Out-patient, and Beneficiary data to build a binary classification machine learning model that can predict the potentially fraudulent Healthcare Provider. — Table of Contents: What is Fraud? What are Healthcare Fraud and its common examples? How does a Claim Process work? Who are Medicare Providers and what is their role in fraud? WASTE & ABUSE of healthcare financial costHealthcare20 min readHealthcare20 min read
Published in DataDrivenInvestor·PinnedDoes RANSAC is a robust approach for outliers detection?Outliers detection is one of those areas that many of the time been overlooked, however, it is imperative to find the existence of noisy and influential outliers points for near to perfect predictions. First thing first, what is the difference between noisy and an outlier data point? A noisy data…Outlier Detection9 min readOutlier Detection9 min read
Published in DataDrivenInvestor·PinnedDoes Isolation Forest really perform well in its task?This blog is the continuation of the previous one where we understood IF thoroughly and here we will work with its Sklearn implementation to witness if its fundamentals are competent to find outliers. Let’s start!! Import some packagesIsolation Forests6 min readIsolation Forests6 min read
Published in Geek Culture·Jun 30, 2021Statistics an ancient tool to unearth the present-day Data ScienceWe are witnessing an era of fusion where computer systems are getting educated on top of extensively available data. And, Statistics is one field that helps these systems to discover insights. Here, is a quote from vault said by George Edward Box: “Statistics is about the catalysis of the scientific…Statistical Analysis8 min readStatistical Analysis8 min read
Published in DataDrivenInvestor·Mar 25, 2021Let's find some outliers with Isolation ForestOutliers are not always bad for your model, in fact, they can be the influential points whose presence or absence have a significant impact. I was working on a problem where I have to deal with data points that were not noise but unlike the normal ones. I tried multiple…Machine Learning9 min readMachine Learning9 min read
Published in Analytics Vidhya·Feb 16, 2020Deep Dive in Machine Learning with PythonPart — XV: Initial Data Analysis — II — Welcome to another blog of Deep Dive in Machine Learning with Python. In the previous blog, we worked with the Autism Spectrum Disorder (Children) dataset to understand how to effectively perform the first two stages of Initial Data Analysis. In today’s blog, we will continue with the further stages of…Data Science4 min readData Science4 min read
Published in Analytics Vidhya·Feb 15, 2020Deep Dive in Machine Learning with PythonPart — XIV: Initial Data Analysis (IDA) with example — Welcome to another blog of Deep Dive in Machine Learning with Python, in the last blog we touch base on different levels of data analysis. In today’s blog, we will delve into the core concepts of Initial Data Analysis (IDA) by using the Autism Spectrum Disorder (Children) dataset. …Data Science4 min readData Science4 min read
Published in Analytics Vidhya·Feb 8, 2020Deep Dive in Machine Learning with PythonPart — XIII: Converse with the data — Welcome to another blog of Deep Dive in Machine Learning with Python, up to this point we have extensively worked to learn the concepts of python programming, data wrangling, and data visualization. And, in the last blog, we gained an understanding of Heatmaps and Pair Plots. In today’s blog, we…Data Analysis3 min readData Analysis3 min read
Published in Analytics Vidhya·Feb 7, 2020Deep Dive in Machine Learning with PythonPart — XII: Data Visualization — III — Welcome to another blog of Deep Dive in Machine Learning with Python, in the last blog, we worked with the Gapminder Dataset to understand the data distributions, histogram plots, and density plots. In today’s blog, we will focus on heatmaps that are commonly used in visualizing the generalized view of…Data Visualization5 min readData Visualization5 min read
