Tag: data science
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LSTM Price Predictions of 4 Tech Stocks
The given content explains the process of using Exploratory Data Analysis (EDA) and Long Short-Term Memory (LSTM) Sequential model for comparing the risk/return of four major tech stocks: Apple, Google, Microsoft, and Amazon, considering the tech scenario in 2023. The analysis involves examining stock price patterns, their correlations, risk-return assessment, and predicting stock prices using…
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SARIMAX Crude Oil Prices Forecast – 2. Brent
This study focuses on validating the EIA energy forecast for the 2023 Brent crude oil spot price using SARIMAX time-series cross-validation. It includes prerequisites, data loading, ETS decomposition, ADF test, SARIMAX modeling, predictions, model evaluation, and summary. The predictions align with the EIA forecast, with discrepancies within predicted confidence intervals.
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Trending YouTube Video Data Science, NLP Predictions & Sentiment Analysis
Table of Contents Global YT WordCloud Let’s begin with the Kaggle YT TextHero dataset containing 3599 rows and 4 columns. Let’s set the working directory YOURPATH import osos.chdir(‘YOURPATH’) os. getcwd() and import all necessary modulesfrom wordcloud import WordCloud, STOPWORDSimport matplotlib.pyplot as pltimport pandas as pd Let’s read the input dataset df = pd.read_csv(r”youtube0.csv”, encoding =”latin-1″)…
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SARIMAX Crude Oil Prices Forecast – 1. WTI
The content discusses a detailed forecast of Brent and WTI oil prices for 2023, using Python, SARIMAX and Time Series Analysis. The data indicates volatility in the oil market starting 2023, with prices set to decrease from 2022 levels. Experts also warn of a potential US recession in 2023, which could further impact the oil…
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NETFLIX Interactive Visualization with Plotly
This project implements Python-3 EDA, streaming data visualization, and interactive Plotly UI to review Netflix movies and TV shows. It aims to understand content availability in different countries, identify similar content, and analyze the focus on TV shows vs. movies. The Kaggle Netflix dataset details TV shows and movies available on the platform. Netflix is…
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Interactive Global COVID-19 Data Visualization with Plotly
COVID-19, caused by SARS-CoV-2 virus, has affected 227.2 million people and caused 4,672,629 deaths. The disease, first reported in Wuhan, has spread globally. Data visualization tools like Plotly and analysis of Kaggle datasets provide insights into the pandemic’s impact, with the US leading in confirmed cases and deaths. China has managed to control the spread.
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AI-Based ECG Recognition – EOY ’22 Status
Featured Photo by cottonbro studio on pexels. Electrocardiography (ECG) is the method most often used to diagnose cardiovascular diseases. The recent study demonstrates that an AI is capable of automatically diagnosing the abnormalities indicated by an ECG. In this post we will review and illustrate how AI applies to ECG analysis to outperform traditional ECG analysis.…
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The Power of AIHealth: Comparison of 12 ML Breast Cancer Classification Models
AI Health is leveraging Machine Learning (ML) and Artificial Intelligence (AI) for early diagnosis and prediction of breast cancer (BC), utilizing different ML techniques for binary classification of the disease. A comparative analysis demonstrated that Linear Regression was the most effective classifier based on various performance metrics. This research aims to integrate ML in public…
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A Roadmap from Data Science to BI via ML
The blog post presents a comprehensive roadmap to Data Science (DS), providing an overview of career prospects, the field’s intersections with Mathematics, Statistics, and Computer Science, and its business relevance. The text details the earning potential of data scientists and the steps towards becoming one, including Data Analysis, Machine Learning, and Business Intelligence. It highlights…
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Power BI for Data Scientists
Power BI is a business analytics tool that provides interactive data visualization capabilities, advanced analytics, and artificial intelligence. Power BI’s AI features include image recognition, text analytics, key driver analysis, and machine learning model building. It offers cloud-based services and a desktop-based interface, allowing data preparation, data discovery, and interactive dashboarding. Supported by Windows, Android,…
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Technology Focus Weekly Update 16 Oct ’22
Get top data-driven technology highlights of the week: new SaaS products, tech business applications and learnings of the week: DevOps, DevSecOps, Cybersecurity, public cloud platforms (AWS/GCP/Azure), MarTech, ML/AI, MLOPs, NLP, edtech, e-courses, upcoming events, and related Infographics. Contents: DevOps November 8th, 2022 | 11 a.m. ET Providing reliable and secure services doesn’t just happen. Traditionally,…
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HealthTech ML/AI Q3 ’22 Round-Up
Featured Photo by Andy Kelly on Unsplash This blog presents a Q3 ’22 summary of current healthtech ML/AI innovation methods, trends and challenges. Virtual reality, artificial intelligence, augmented reality, and machine learning are all healthcare technology trends that are going to play a vital role across the entire healthcare system. Let’s take a look at…
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ML/AI Diamond Price Prediction with R
The post discusses an analysis for determining the price of diamonds, aiming to detect possible overpayment. Using R Studio and various machine learning models, including linear regression, XGBoost, SVM, Decision Tree, and Random Forest, the study targets diamonds’ price and related factors. The best performance is provided by the Random Forest model, indicating the primary…
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US Real Estate – Harnessing the Power of AI
The content describes a continuation of the use-case series dedicated to real estate (RE) monitoring, trend analysis, and forecast. It focuses on predicting and estimating US house prices using a pre-trained ML model. The content covers various machine learning algorithms, data preprocessing, model training, and evaluation using the Boston housing price dataset. Key takeaways include…
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Cloud-Native Tech Status Update Q3 2022
Cloud Computing Trends Q3 2022, market Share update key services IaaS PaaS FaaS Saas Cloud digital transformation all-the-way DevSecOps CI/Cd GitLab MLOps IoT Tech GCP gateway Big data Deloitte use-cases Stock markets Health Tech Cybersecurity Highlights Events Webinars AWS Storage E-training
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ML/AI Wildfire Prediction using Remote Sensing Data
The content is a detailed exploration into the application of machine learning (ML) and artificial intelligence (AI) in predicting wildfires using a dataset acquired in Canada. It covers data preprocessing, ML workflow, exploratory data analysis (EDA), model training, performance evaluation, hyperparameter optimization (HPO), and data resampling techniques like SMOTE and ADASYN. The ML models are…
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Cybersecurity Round-Up
Cybersecurity Summer 2022 Round-Up Palo Alto Networks Security Automation: Within Our Own SOC AT&T SASE Branch with Fortinet DevOps.com webinars: Modern Data Protection With Metallic DMaaS Top 5 Cloud-Native Risks IT GRC Forum Utilizing the NIST Framework for Full-Cycle Privilege Orchestration Snowflake Security Digital Shadows Digest ksqlDB AIaaS Data Security Security Boulevard Webinars E-Training Opportunities
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Towards Optimized ML Wildfire Prediction
Towards Optimized ML Wildfire Prediction: This Python case example stems from the initial research into ML/AI wildfire prediction using the dataset that was downloaded from the UCI Machine Learning Repository.
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ML/AI Wildfire Prediction
A wildfire, forest fire, bushfire, wildland fire or rural fire is an unplanned, uncontrolled and unpredictable fire in an area of combustible vegetation starting in rural and urban areas. Wildland fire is a widespread and critical element of the Earth’s system. Presently, global annual area burned is estimated to be approximately 420 Mha (Giglio et al. 2018), which is greater in area than the country of India. Wildland fires…
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Drug Review Data Analytics
UCI Drag Review Data Analytics An AI assisted medication recommender framework is truly vital with the goal that it can assist specialists and help patients to build their knowledge of drugs on specific health conditions. We Build a Drug Recommendation System that recommends the most effective drug for a certain condition based on available reviews…
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