#predictive analysis | Explore Tumblr Posts and Blogs

amtalchemy · 9 months

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Saw that Margot Robbie was 33 years old and predicted that she had Mercury in Gemini, which I was right about

She had the development and success of Barbie in her 30s when the 3rd zodiac sign Gemini and 3rd house activates

Margot Robbie has Mercury-Sun-Jupiter in Gemini in the 1H. Sun in Gemini rules her 3H, Jupiter in Gemini rules her 10H and 7H, and Mercury in Gemini rules her 1H and 4H. This period indicates fame, recognition, notoriety, and success especially with Mercury being in excellent dignity in its own sign.

The release and success of her movie happened shortly after she turned 33, which shows a double emphasis on the energies of Gemini and the 3rd house being activated during this period

I also guessed Margot Robbie having D60 True Node Ketu in Libra (and was right on the first try), originally leaning towards Swati nakshatra, but now I do see some Vishaka in her

#astrology #vedic astrology #sidereal astrology #astrology observations #astro observations #predictive techniques #predictive analysis #mercury in gemini #ketu #D60 ketu #ketu in libra #ketu in vishaka #astroblr #astro community #vedic astro notes

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joshuapaulbarnard · 1 year

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Predicting Wine Quality

Predicting Wine Quality by comparing Linear Regression with Machine Learning techniques. Comparing Linear Regression with kNN, Decision Tree and Random Forest with Bayesian Inference to Predict Wine Quality in Python. We use python and Jupyter Notebook to download, extract, transform and analyze data about the physicochemical properties which make up wine, and use them to predict…

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salesmarkglobal · 15 days

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Learn Integration of Predictive Analytics In ABM Toolkit

The integration of predictive analytics in ABM Toolkit is examined in this material, which emphasizes how predictive insights have the potential to completely transform B2B marketing strategies. It highlights the benefits of predictive analytics and account-based marketing (ABM) by demonstrating how predictive models may improve client acquisition, conversion, and retention. Three steps make up the process outline: gathering data and designing the project; statistical analysis and model creation; and implementation and observation. Predictive analytics gives marketers insight into the behaviors of their customers in the future, allowing them to create customized plans that yield the best outcomes. In the end, this combination of strategic marketing and data-driven accuracy promises to transform B2B marketing paradigms and create long-lasting client connections.

To Learn More about Account Based Marketing Strategies Visit SalesMark Global

#abm #account based marketing #business analytics #artificial intelligence #ai technology #b2b marketing #data analytics #abm strategy #ai #ai-abm duo #abm agency #predictive analytics #predictive abm #predictive analysis #abm program #abm marketing #b2b marketing agency #b2b account based marketing #abm toolkit

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indembminsk · 2 months

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How to Use AI to Increase Instagram Followers in 2024?

Instagram remains one of the most influential social media platforms in 2024, with users and businesses alike striving to expand their audience. The advent of artificial intelligence (AI) has transformed the approach toward growing followers on the platform. Let’s explore how to utilize AI to increase your Instagram followers effectively this year. Understanding Your Audience with AI…

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#AI analytics #AI copywriting #AI photo-editing #audience engagement #content strategy #ethical AI use #Instagram algorithm #Instagram growth #predictive analysis #social media automation

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mobio-solutions · 2 months

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Redefine retail success! Harness tech analytics and unlock secrets to customer delight. Lead the charge, set trends, and watch your business soar. 🔥

#retail #retail technology #business solutions #data #data analysis #datascience #predictive analysis #getondata

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qualibarinc · 3 months

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www.qualibar.com

Benefits of AI in Software Testing

AI (Artificial Intelligence) brings several benefits to software testing, enhancing efficiency, accuracy, and effectiveness in various aspects of the testing process.

Here are some key benefits of using AI in software testing:

Automation and Speed: AI enables the automation of repetitive and time-consuming testing tasks. This significantly speeds up the testing process, allowing for faster release cycles without compromising quality. Automated testing can run 24/7, providing continuous feedback.

Efficiency and Resource Optimization: AI-powered testing tools can optimize resource utilization by executing tests in parallel, reducing the overall testing time. This efficiency helps in allocating resources more effectively and allows testing teams to focus on more complex and creative aspects of testing.

Test Case Generation: AI can assist in the creation of test cases by analyzing application requirements, specifications, and historical data. This helps in identifying critical test scenarios and generating test cases that cover a broader range of possible scenarios, improving test coverage.

Predictive Analysis: AI algorithms can analyze historical data to predict potential areas of defects or vulnerabilities in the software. This predictive analysis helps testing teams prioritize testing efforts on high-risk areas, improving the overall effectiveness of testing.

Self-Healing Tests: AI can be employed to create self-healing tests that adapt to changes in the application's codebase. When minor changes occur, AI algorithms can automatically update test scripts, reducing maintenance efforts and ensuring that tests remain relevant.

Data-Driven Testing: AI can analyze large datasets to identify patterns and correlations, helping in the creation of realistic and data-driven test scenarios. This ensures that tests are more representative of real-world usage, leading to more effective testing.

Performance Testing: AI can be applied to simulate real-world user behavior and generate realistic load scenarios during performance testing. This helps in identifying and addressing performance bottlenecks and ensuring that the software can handle varying levels of user activity.

Security Testing: AI can enhance security testing by automating the identification of vulnerabilities and potential security threats. AI algorithms can analyze code for patterns associated with security risks and help in the early detection of potential security issues.

User Experience Testing: AI can analyze user interactions and feedback to provide insights into the user experience. This information can be used to optimize the software's usability and identify areas for improvement in terms of user satisfaction.

Regression Testing: AI can efficiently handle regression testing by automatically identifying changes in the codebase and selectively running relevant test cases. This ensures that new updates or features do not introduce unintended side effects.

In summary, integrating AI into software testing processes brings about improvements in efficiency, accuracy, and overall testing effectiveness, ultimately contributing to the delivery of higher-quality software.

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arinawilson · 3 months

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youtube

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#extended reality #extended reality education #innovationineducation #virtual classroom #predictive analysis #Youtube

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upgard · 4 months

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Delve into the power of Predictive Modeling in Business Analytics. At upGrad Campus, our comprehensive analysis explores how predictive models drive strategic insights, equipping professionals with the expertise to harness data for informed decision-making. It's about mastering predictive analytics for a competitive edge in today's dynamic business landscape.

#upgardcampus #financial modeling #predictive analysis

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tothobari · 5 months

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#predictive analysis

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debajitadhikary · 5 months

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10 Most important Technologies that IT Advisors use to Navigating the Future of Information Technology

Introduction as IT Advisors In the dynamic realm of Information Technology (IT), staying ahead requires a powerful arsenal of cutting-edge technologies. IT advisors, the guiding force behind digital transformations, leverage a spectrum of tools to optimize operations, enhance security, and propel their clients into the future. In this exploration, we’ll delve into the tech landscape that…

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anviamsolutions1 · 6 months

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Top 5 Modern Technology Trends in Data Analytics

1. Predictive Analytics

2. Conversational Analytics

3. Blockchain

4. IoT Analytics

5. Augmented Data Management and Analytics

Contact us :

📞 +91-8360176682, +91-8054217664

🌐 www.anviam.com

📩 [email protected]

#anviamsolutions #dataanalytics #blockchain #business #trending2023 #software development #digitalmarketing #entrepreneur #marketing #technology #new technology #software company #data analysis #data management #predictive analysis #trends #anviam #trendingnow

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amtalchemy · 1 year

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Car Type and Chart Activation in Vedic Astrology

The type of car you own and drive will activate the houses, signs, and planets respective to the car year, make, and color

Each number correlates to a sign and house (for ex: #3 = Gemini and 3H). The last two digits of the car year matter most when it comes to specifying house activation energy while the beginning digits indicate general energy. The degree of a planet can also be connected to the year of the car.

Car year, make, or color connected to the 6H, 8H, and 12H should be avoided unless placed with benefics or connected to planets in excellent or at least friendly dignity, or connection to fortunate / favorable houses like the 9H, 10H, and 11H

Toyota is connected to Taurus, Tesla is connected to Aries and Ketu, Mercedes is connected to Mercury/Gemini, Ferrari is connected to Sagittarius and Ashwini of Aries, Lamborghini is connected to Taurus, Honda and Hyundai are connected to Gemini

Black activates Saturn, planets in Saturn nakshatras, Pluto, Scorpio, and Capricorn. White activates Moon, planets in Moon nakshatras, Cancer. Silver/blue activates Rahu, planets in Rahu nakshatras, Aquarius. Red activates Mars/Ketu, planets in Mars/Ketu nakshatras, Aries/Scorpio. Electric colors activate Uranus.

Electric vehicles are connected to Ketu. Gas vehicles are connected to Saturn. High tech vehicles are connected to Rahu/Uranus. Fast vehicles are connected to Mars/Ashwini.

Assets are energy. The astronumerological connection to the car you own/drive holds a particular energy and can connect to major events and synchronicities in your life like the person you're dating, the job you hold, opportunities in fulfilling your dreams and wishes, the amount of fortune and wealth you hold, your income stream, your obstacles and problems, your mental state, the environment you live in and good or bad energy you surround yourself in

Themes, energies, and activities of nakshatras also play out when they get activated by sign-house placement or house lord. For example with cars connected to Ashwini, this can indicate quick movement, high energy, frequent movement, changes, enthusiasm, passion, quick-thinking, horses, physicians, healing, youthfulness.

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filevinelegalnews · 6 months

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Explore the evolving landscape of legal intake management! This article dives into the transformative impact of legal predictive analysis and how advanced tools are shaping the future of decision-making in the legal industry. Discover how data-driven insights are revolutionizing intake management for better choices.

Source: Filevine - Legal Predictive Analysis and the Future of Intake Management

#legaltech #predictive analysis

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salesmarkglobal · 1 month

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Fundamental of Predictive Analysis in ABM Strategies

Predictive analysis in ABM typically involves collecting and analyzing various data points, such as past purchasing behavior, firmographic data, online interactions, and engagement history. By applying predictive models and algorithms to this data, marketers can identify patterns and trends that indicate which accounts are most likely to be receptive to marketing messages and ultimately convert into customers.

#abm #account based marketing #predictive analytics in abm #predictive analysis #predictive abm #predictive modelling #abm toolkit #machine learning #data collection #database #artificial intelligence

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edujournalblogs · 6 months

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Essentials of Data Analysis

Data Analysis is an integral part of every business.There are various data analysis technique which can be applied with all kinds of data in order to find patterns, discover insights and making data-driven decisions. The following gives a brief idea of the process and the techniques undertaken during data analysis:

Process followed in Data Analysis

Define your goals clearly

Collect the required data

Data Cleaning by removing unnecessary rows and columns and redundant data

Analyze data using various tools

Visualizing Data

Drawing an inference and conclusion

Methods of Data Analysis (for both Quantitative and Qualitative Data)

Sentimental Analysis

Regression Analysis

Time Series Analysis

Cluster Analysis

Predictive Analysis

Check out our master program in Data Science and ASP.NET- Complete Beginner to Advanced course and boost your confidence and knowledge.

URL: www.edujournal.com

#Sentimental Analysis #Regression Analysis #Time Series Analysis #Cluster Analysis #Predictive Analysis #inference #Visualizing Data #Analyze data #Data Cleaning #Data_Collection

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mobio-solutions · 3 months

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🛍️ Step into the future of retail with us! Imagine a world where data analytics and AI join forces, creating unparalleled shopping experiences. This isn't sci-fi; it's what's next in retail. Get ready for smart strategies that understand your needs before you do.

#retail #data analytics #artificial intelligence #retail analytics #data #data driven #data science #predictive analysis #omnichannel #business #future #getondata

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