Tag: data science
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Predicting the JPM Stock Price and Breakouts with Auto ARIMA, FFT, LSTM and Technical Trading Indicators
Featured Photo by Pixabay In this post, we will look at the JPM stock price and relevant breakout strategies for 2022-23. Referring to the previous case study, our goal is to combine the Auto ARIMA, FFT, LSTM models and Technical Trading Indicators (TTIs) into a single framework to optimize advantages of each. Specifically, we will…
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Risk-Return Analysis and LSTM Price Predictions of 4 Major Tech Stocks in 2023
The open-source Python workflow breaks down our investigation into the following 4 steps: (1) invoke yfinance to import real-time stock information into a Pandas dataframe; (2) visualize different dataframe columns with Seaborn and Matplotlib; (3) compare stock risk/return using historical data; (4) predict stock prices in 2023 with the trained LSTM model. Input Data Let’s…
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SARIMAX X-Validation of EIA Crude Oil Prices Forecast in 2023 – 2. Brent
Based on our previous study, our today’s focus is on SARIMAX time-series X-validation of the Brent crude oil spot price USD/b: viz. the goal is to verify the following EIA energy forecast in 2023 According to EIA, the Brent spot price will average $83.63/b in 2023. Table of Contents Prerequisites In this study we will be…
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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 X-Validation of EIA Crude Oil Prices Forecast in 2023 – 1. WTI
Featured Photo by Pixabay Table of Contents: Let’s perform SARIMAX X-validation of EIA WTI and Brent oil prices forecast in the 2nd half of 2023. Recall that SARIMAX (Seasonal Autoregressive Integrated Moving Average with eXogenous factors) is an updated version of the ARIMA model for time series forecasting. SARIMAX is a seasonal equivalent to SARIMA…
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NETFLIX Interactive Visualization with Plotly
Featured Photo by Roberto Nickson on Pexels This project consists in the implementation of Python-3 Exploratory Data Analysis (EDA), streaming data visualization and highly interactive Plotly UI for reviewing Netflix movies and TV shows. Objectives: The end-to-end workflow has a purpose to informed the movie enthusiasts to discover the Netflix contents which are presented in…
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Interactive Global COVID-19 Data Visualization with Plotly
Featured Photo by Artem Podrez on Pexels. Coronavirus Country Profiles: The Value of COVID-19 Data Analytics: Using COVID-19 data to fight and contain the pandemic with data science/analytics and interactive visualization is critical to protect public health and save lives. Using global data through mobile & web applications will allow us to beat COVID-19 faster.…
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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
Contents: BC Dataset Conventionally, the Breast Cancer Wisconsin (Diagnostic) Data Set has been used to predict whether the breast cancer is benign or malignant. Features were computed from a digitized image of a fine needle aspirate (FNA) of a breast mass. They describe characteristics of the cell nuclei present in the image. The dataset can…
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Power BI for Data Science
Get Started Now at PowerBI.com Join the Group: Power BI For Data Science What is Power BI? Microsoft’s business analytics product, Power BI, delivers interactive data visualization BI capabilities that allow users to see and share data and insights throughout their organization. Power BI provides insight data by using data interactively and exploring it by visualizations.…
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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
Inspired by the recent study, this post will cover an analysis of diamonds with R Studio. On the demand side, customers in the market for a less expensive, smaller diamond are probably more sensitive to price than more well-to-do buyers. Therefore, it makes a perfect sense to use a pre-trained ML/AI model to get an idea…
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US Real Estate – Harnessing the Power of AI
This is the continuation of our recent use-case series dedicated to the real estate (RE) monitoring, trend analysis and forecast. In these series, the focus is on the US house prices by invoking supervised machine learning (ML) and artificial intelligence (AI) algorithms available in Python as it is the language with the largest variety of libraries on the…
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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
Featured Photo by Mike Newbry on Unsplash Contents: Introduction Wildfire is a widespread and critical element of the Earth’s system. Wildfires can result in significant impacts to humans, either directly through loss of life and destruction to communities or indirectly through smoke exposure. As the climate warms, we are seeing increasing impacts from wildfire. Consequently,…
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Cybersecurity Summer 2022 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…