๐ Predictive Modeling for Future Stock Prices in Python: A Step-by-Step Guide
The process of building a stock price prediction model using Python.
1. Import required modules
2. Obtaining historical data on stock prices
3. Selection of features.
4. Definition of features and target variable
5. Preparing data for training
6. Separation of data into training and test sets
7. Building and training the model
8. Making forecasts
9. Trading Strategy Testing
The process of building a stock price prediction model using Python.
1. Import required modules
2. Obtaining historical data on stock prices
3. Selection of features.
4. Definition of features and target variable
5. Preparing data for training
6. Separation of data into training and test sets
7. Building and training the model
8. Making forecasts
9. Trading Strategy Testing
Forwarded from Artificial Intelligence
๐๐ฅ๐๐ ๐ง๐๐ง๐ ๐๐ฎ๐๐ฎ ๐๐ป๐ฎ๐น๐๐๐ถ๐ฐ๐ ๐ฉ๐ถ๐ฟ๐๐๐ฎ๐น ๐๐ป๐๐ฒ๐ฟ๐ป๐๐ต๐ถ๐ฝ๐
Gain Real-World Data Analytics Experience with TATA โ 100% Free!
This free TATA Data Analytics Virtual Internship on Forage lets you step into the shoes of a data analyst โ no experience required!
๐๐ข๐ง๐ค๐:-
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Enroll For FREE & Get Certified๐๏ธ
Gain Real-World Data Analytics Experience with TATA โ 100% Free!
This free TATA Data Analytics Virtual Internship on Forage lets you step into the shoes of a data analyst โ no experience required!
๐๐ข๐ง๐ค๐:-
https://pdlink.in/3FyjDgp
Enroll For FREE & Get Certified๐๏ธ
Use Chat GPT to prepare for your next Interview
This could be the most helpful thing for people aspiring for new jobs.
A few prompts that can help you here are:
๐กPrompt 1: Here is a Job description of a job I am looking to apply for. Can you tell me what skills and questions should I prepare for? {Paste JD}
๐กPrompt 2: Here is my resume. Can you tell me what optimization I can do to make it more likely to get selected for this interview? {Paste Resume in text}
๐กPrompt 3: Act as an Interviewer for the role of a {product manager} at {Company}. Ask me 5 questions one by one, wait for my response, and then tell me how I did. You should give feedback in the following format: What was good, where are the gaps, and how to address the gaps?
๐กPrompt 4: I am interviewing for this job given in the JD. Can you help me understand the company, its role, its products, main competitors, and challenges for the company?
๐กPrompt 5: What are the few questions I should ask at the end of the interview which can help me learn about the culture of the company?
Free book to master ChatGPT: https://t.me/InterviewBooks/166
ENJOY LEARNING ๐๐
This could be the most helpful thing for people aspiring for new jobs.
A few prompts that can help you here are:
๐กPrompt 1: Here is a Job description of a job I am looking to apply for. Can you tell me what skills and questions should I prepare for? {Paste JD}
๐กPrompt 2: Here is my resume. Can you tell me what optimization I can do to make it more likely to get selected for this interview? {Paste Resume in text}
๐กPrompt 3: Act as an Interviewer for the role of a {product manager} at {Company}. Ask me 5 questions one by one, wait for my response, and then tell me how I did. You should give feedback in the following format: What was good, where are the gaps, and how to address the gaps?
๐กPrompt 4: I am interviewing for this job given in the JD. Can you help me understand the company, its role, its products, main competitors, and challenges for the company?
๐กPrompt 5: What are the few questions I should ask at the end of the interview which can help me learn about the culture of the company?
Free book to master ChatGPT: https://t.me/InterviewBooks/166
ENJOY LEARNING ๐๐
๐ฐ ๐ฃ๐ผ๐๐ฒ๐ฟ๐ณ๐๐น ๐๐ฟ๐ฒ๐ฒ ๐ฅ๐ผ๐ฎ๐ฑ๐บ๐ฎ๐ฝ๐ ๐๐ผ ๐ ๐ฎ๐๐๐ฒ๐ฟ ๐๐ฎ๐๐ฎ๐ฆ๐ฐ๐ฟ๐ถ๐ฝ๐, ๐๐ฎ๐๐ฎ ๐ฆ๐ฐ๐ถ๐ฒ๐ป๐ฐ๐ฒ, ๐๐/๐ ๐ & ๐๐ฟ๐ผ๐ป๐๐ฒ๐ป๐ฑ ๐๐ฒ๐๐ฒ๐น๐ผ๐ฝ๐บ๐ฒ๐ป๐ ๐
Learn Tech the Smart Way: Step-by-Step Roadmaps for Beginners๐
Learning tech doesnโt have to be overwhelmingโespecially when you have a roadmap to guide you!๐๐
๐๐ข๐ง๐ค๐:-
https://pdlink.in/45wfx2V
Enjoy Learning โ ๏ธ
Learn Tech the Smart Way: Step-by-Step Roadmaps for Beginners๐
Learning tech doesnโt have to be overwhelmingโespecially when you have a roadmap to guide you!๐๐
๐๐ข๐ง๐ค๐:-
https://pdlink.in/45wfx2V
Enjoy Learning โ ๏ธ
Forwarded from Artificial Intelligence
๐ด ๐๐ฒ๐๐ ๐๐ฟ๐ฒ๐ฒ ๐๐ฎ๐๐ฎ ๐ฆ๐ฐ๐ถ๐ฒ๐ป๐ฐ๐ฒ ๐๐ผ๐๐ฟ๐๐ฒ๐ ๐ณ๐ฟ๐ผ๐บ ๐๐ฎ๐ฟ๐๐ฎ๐ฟ๐ฑ, ๐ ๐๐ง & ๐ฆ๐๐ฎ๐ป๐ณ๐ผ๐ฟ๐ฑ๐
๐ Learn Data Science for Free from the Worldโs Best Universities๐
Top institutions like Harvard, MIT, and Stanford are offering world-class data science courses online โ and theyโre 100% free. ๐ฏ๐
๐๐ข๐ง๐ค๐:-
https://pdlink.in/3Hfpwjc
All The Best ๐
๐ Learn Data Science for Free from the Worldโs Best Universities๐
Top institutions like Harvard, MIT, and Stanford are offering world-class data science courses online โ and theyโre 100% free. ๐ฏ๐
๐๐ข๐ง๐ค๐:-
https://pdlink.in/3Hfpwjc
All The Best ๐
๐๐ฒ๐ฎ๐ฟ๐ป ๐๐ฎ๐๐ฎ ๐ฆ๐ฐ๐ถ๐ฒ๐ป๐ฐ๐ฒ ๐ถ๐ป ๐๐๐๐ ๐ฏ ๐ ๐ผ๐ป๐๐ต๐ ๐๐ถ๐๐ต ๐ง๐ต๐ถ๐ ๐๐ฟ๐ฒ๐ฒ ๐๐ถ๐๐๐๐ฏ ๐ฅ๐ผ๐ฎ๐ฑ๐บ๐ฎ๐ฝ๐
๐ฏ Want to Master Data Science in Just 3 Months?๐
Feeling overwhelmed by the sheer volume of resources and donโt know where to start? Youโre not alone๐
๐๐ข๐ง๐ค๐:-
https://pdlink.in/43uHPrX
This FREE GitHub roadmap is a game-changer for anyoneโ ๏ธ
๐ฏ Want to Master Data Science in Just 3 Months?๐
Feeling overwhelmed by the sheer volume of resources and donโt know where to start? Youโre not alone๐
๐๐ข๐ง๐ค๐:-
https://pdlink.in/43uHPrX
This FREE GitHub roadmap is a game-changer for anyoneโ ๏ธ
Which AI is better โ with a wrapper or without?
I liked a slide from the recent presentation Sequoia Capital AI Ascent 2025.
Big vendors after the launch of ChatGPT insisted that niche and industrial startups consuming AGI intelligence are unpromising.
They disdainfully called them AI wrappers, believing that they have no protection against competitors.
A couple of years later, we observe record growth precisely in such companies as Cursor ($300 million ARR), Loveable, Windsurf (bought by OpenAI for $3 billion), and thousands of new industrial startups โ in finance, insurance, e-commerce, legal, accounting, healthcare, and other sectors.
Meanwhile, AI tokens are becoming the fastest depreciating technology and currency in history.
According to Sam Altman himself, over time the cost of AI will equal the cost of energy.
Giants have started giving access to their most powerful AI models to seize leadership in the new technological era.
I have already written about a unique market moment: when, being an expert in any subject area, you combine your knowledge with the growing capabilities of AI โ and get a tool that solves real human problems for which clients are ready to pay immediately.
Now these very AI wrappers have turned into serious businesses.
The obvious challenge for entrepreneurs is that AI skills and specialists are increasing in value much faster than other segments of the IT market.
Startups and mature companies with subject matter experts already face difficulties attracting strong AI engineers, but at the same time, according to the results of the first internal hackathons, I see a rapid increase in the number of those who caught the trend and felt in AI a breath of fresh air in the enterprise world.
In the coming years, young founders and enthusiasts who live by technology, see trends ahead, and tirelessly experiment by creating new products will win rapidly.
Time to act!
I liked a slide from the recent presentation Sequoia Capital AI Ascent 2025.
Big vendors after the launch of ChatGPT insisted that niche and industrial startups consuming AGI intelligence are unpromising.
They disdainfully called them AI wrappers, believing that they have no protection against competitors.
A couple of years later, we observe record growth precisely in such companies as Cursor ($300 million ARR), Loveable, Windsurf (bought by OpenAI for $3 billion), and thousands of new industrial startups โ in finance, insurance, e-commerce, legal, accounting, healthcare, and other sectors.
Meanwhile, AI tokens are becoming the fastest depreciating technology and currency in history.
According to Sam Altman himself, over time the cost of AI will equal the cost of energy.
Giants have started giving access to their most powerful AI models to seize leadership in the new technological era.
I have already written about a unique market moment: when, being an expert in any subject area, you combine your knowledge with the growing capabilities of AI โ and get a tool that solves real human problems for which clients are ready to pay immediately.
Now these very AI wrappers have turned into serious businesses.
The obvious challenge for entrepreneurs is that AI skills and specialists are increasing in value much faster than other segments of the IT market.
Startups and mature companies with subject matter experts already face difficulties attracting strong AI engineers, but at the same time, according to the results of the first internal hackathons, I see a rapid increase in the number of those who caught the trend and felt in AI a breath of fresh air in the enterprise world.
In the coming years, young founders and enthusiasts who live by technology, see trends ahead, and tirelessly experiment by creating new products will win rapidly.
Time to act!
๐ง๐ผ๐ฝ ๐๐ผ๐บ๐ฝ๐ฎ๐ป๐ถ๐ฒ๐ ๐๐ถ๐ฟ๐ถ๐ป๐ด ๐๐ฎ๐๐ฎ ๐๐ป๐ฎ๐น๐๐๐๐๐
๐๐ฝ๐ฝ๐น๐ ๐๐ถ๐ป๐ธ๐:-๐
S&P Global :- https://pdlink.in/3ZddwVz
IBM :- https://pdlink.in/4kDmMKE
TVS Credit :- https://pdlink.in/4mI0JVc
Sutherland :- https://pdlink.in/4mGYBgg
Other Jobs :- https://pdlink.in/44qEIDu
Apply before the link expires ๐ซ
๐๐ฝ๐ฝ๐น๐ ๐๐ถ๐ป๐ธ๐:-๐
S&P Global :- https://pdlink.in/3ZddwVz
IBM :- https://pdlink.in/4kDmMKE
TVS Credit :- https://pdlink.in/4mI0JVc
Sutherland :- https://pdlink.in/4mGYBgg
Other Jobs :- https://pdlink.in/44qEIDu
Apply before the link expires ๐ซ
Artificial Intelligence (AI) is the simulation of human intelligence in machines that are designed to think, learn, and make decisions. From virtual assistants to self-driving cars, AI is transforming how we interact with technology.
Hers is the brief A-Z overview of the terms used in Artificial Intelligence World
A - Algorithm: A set of rules or instructions that an AI system follows to solve problems or make decisions.
B - Bias: Prejudice in AI systems due to skewed training data, leading to unfair outcomes.
C - Chatbot: AI software that can hold conversations with users via text or voice.
D - Deep Learning: A type of machine learning using layered neural networks to analyze data and make decisions.
E - Expert System: An AI that replicates the decision-making ability of a human expert in a specific domain.
F - Fine-Tuning: The process of refining a pre-trained model on a specific task or dataset.
G - Generative AI: AI that can create new content like text, images, audio, or code.
H - Heuristic: A rule-of-thumb or shortcut used by AI to make decisions efficiently.
I - Image Recognition: The ability of AI to detect and classify objects or features in an image.
J - Jupyter Notebook: A tool widely used in AI for interactive coding, data visualization, and documentation.
K - Knowledge Representation: How AI systems store, organize, and use information for reasoning.
L - LLM (Large Language Model): An AI trained on large text datasets to understand and generate human language (e.g., GPT-4).
M - Machine Learning: A branch of AI where systems learn from data instead of being explicitly programmed.
N - NLP (Natural Language Processing): AI's ability to understand, interpret, and generate human language.
O - Overfitting: When a model performs well on training data but poorly on unseen data due to memorizing instead of generalizing.
P - Prompt Engineering: Crafting effective inputs to steer generative AI toward desired responses.
Q - Q-Learning: A reinforcement learning algorithm that helps agents learn the best actions to take.
R - Reinforcement Learning: A type of learning where AI agents learn by interacting with environments and receiving rewards.
S - Supervised Learning: Machine learning where models are trained on labeled datasets.
T - Transformer: A neural network architecture powering models like GPT and BERT, crucial in NLP tasks.
U - Unsupervised Learning: A method where AI finds patterns in data without labeled outcomes.
V - Vision (Computer Vision): The field of AI that enables machines to interpret and process visual data.
W - Weak AI: AI designed to handle narrow tasks without consciousness or general intelligence.
X - Explainable AI (XAI): Techniques that make AI decision-making transparent and understandable to humans.
Y - YOLO (You Only Look Once): A popular real-time object detection algorithm in computer vision.
Z - Zero-shot Learning: The ability of AI to perform tasks it hasnโt been explicitly trained on.
Credits: https://whatsapp.com/channel/0029Va4QUHa6rsQjhITHK82y
Hers is the brief A-Z overview of the terms used in Artificial Intelligence World
A - Algorithm: A set of rules or instructions that an AI system follows to solve problems or make decisions.
B - Bias: Prejudice in AI systems due to skewed training data, leading to unfair outcomes.
C - Chatbot: AI software that can hold conversations with users via text or voice.
D - Deep Learning: A type of machine learning using layered neural networks to analyze data and make decisions.
E - Expert System: An AI that replicates the decision-making ability of a human expert in a specific domain.
F - Fine-Tuning: The process of refining a pre-trained model on a specific task or dataset.
G - Generative AI: AI that can create new content like text, images, audio, or code.
H - Heuristic: A rule-of-thumb or shortcut used by AI to make decisions efficiently.
I - Image Recognition: The ability of AI to detect and classify objects or features in an image.
J - Jupyter Notebook: A tool widely used in AI for interactive coding, data visualization, and documentation.
K - Knowledge Representation: How AI systems store, organize, and use information for reasoning.
L - LLM (Large Language Model): An AI trained on large text datasets to understand and generate human language (e.g., GPT-4).
M - Machine Learning: A branch of AI where systems learn from data instead of being explicitly programmed.
N - NLP (Natural Language Processing): AI's ability to understand, interpret, and generate human language.
O - Overfitting: When a model performs well on training data but poorly on unseen data due to memorizing instead of generalizing.
P - Prompt Engineering: Crafting effective inputs to steer generative AI toward desired responses.
Q - Q-Learning: A reinforcement learning algorithm that helps agents learn the best actions to take.
R - Reinforcement Learning: A type of learning where AI agents learn by interacting with environments and receiving rewards.
S - Supervised Learning: Machine learning where models are trained on labeled datasets.
T - Transformer: A neural network architecture powering models like GPT and BERT, crucial in NLP tasks.
U - Unsupervised Learning: A method where AI finds patterns in data without labeled outcomes.
V - Vision (Computer Vision): The field of AI that enables machines to interpret and process visual data.
W - Weak AI: AI designed to handle narrow tasks without consciousness or general intelligence.
X - Explainable AI (XAI): Techniques that make AI decision-making transparent and understandable to humans.
Y - YOLO (You Only Look Once): A popular real-time object detection algorithm in computer vision.
Z - Zero-shot Learning: The ability of AI to perform tasks it hasnโt been explicitly trained on.
Credits: https://whatsapp.com/channel/0029Va4QUHa6rsQjhITHK82y
Forwarded from Artificial Intelligence
๐ฐ ๐๐ฟ๐ฒ๐ฒ ๐ฃ๐๐๐ต๐ผ๐ป ๐๐ผ๐๐ฟ๐๐ฒ๐ ๐๐ผ ๐๐ผ๐ผ๐๐ ๐ฌ๐ผ๐๐ฟ ๐ฅ๐ฒ๐๐๐บ๐ฒ ๐ถ๐ป ๐ฎ๐ฌ๐ฎ๐ฑ๐
Want to Boost Your Resume with In-Demand Python Skills?๐จโ๐ป
In todayโs tech-driven world, Python is one of the most in-demand programming languages across data science, software development, and machine learning๐๐
๐๐ข๐ง๐ค๐:-
https://pdlink.in/3Hnx3wh
Enjoy Learning โ ๏ธ
Want to Boost Your Resume with In-Demand Python Skills?๐จโ๐ป
In todayโs tech-driven world, Python is one of the most in-demand programming languages across data science, software development, and machine learning๐๐
๐๐ข๐ง๐ค๐:-
https://pdlink.in/3Hnx3wh
Enjoy Learning โ ๏ธ
ChatGPT can help you land your dream job twice as fast. Here are 8 powerful ChatGPT prompts will 10X your interview chances.
Free book to master ChatGPT: https://t.me/InterviewBooks/166
1. Customizing Your Resume ChatGPT prompt: "Can you make changes to my resume to fit the [Job Title] role at [Company]? Here's the job description: [Paste Job Description], and resume: [Paste Resume]."
2. Creating a Professional Summary ChatGPT prompt: "Using my resume, can you create a professional summary for me aligned to this [Job Title]." [Paste Resume]
3. Understanding Job Descriptions ChatGPT prompt: "What are the main responsibilities for this job? Please list the top three responsibilities required for [Job Title]." [Paste Job Description]
4. Improving Your Resume Bullets ChatGPT prompt: "Please rewrite this bullet point from my resume using clear and impactful language while highlighting my accomplishments. [Paste Resume]"
5. Writing a LinkedIn Summary ChatGPT prompt: "Can you write a summary for my LinkedIn profile using my resume [Paste Resume]?"
6. Job Applications with ChatGPT ChatGPT prompt: "Can you identify my [Skills] experience from my resume [Paste Resume]? Please describe my specific [Skills] experience in conversational, clear language as if you were me."
7. Crafting Your Cover Letter ChatGPT prompt: "Can you write a personalized cover letter for the [Job Title] position at [Company]? Here's the job description: [Paste Job Description], and my current resume: [Paste Resume]."
8. Preparing for Interviews ChatGPT prompt: "What skills and experiences should I emphasize during an interview for the [Job Title] role in [Specific Industry]?"
ENJOY LEARNING ๐๐
Free book to master ChatGPT: https://t.me/InterviewBooks/166
1. Customizing Your Resume ChatGPT prompt: "Can you make changes to my resume to fit the [Job Title] role at [Company]? Here's the job description: [Paste Job Description], and resume: [Paste Resume]."
2. Creating a Professional Summary ChatGPT prompt: "Using my resume, can you create a professional summary for me aligned to this [Job Title]." [Paste Resume]
3. Understanding Job Descriptions ChatGPT prompt: "What are the main responsibilities for this job? Please list the top three responsibilities required for [Job Title]." [Paste Job Description]
4. Improving Your Resume Bullets ChatGPT prompt: "Please rewrite this bullet point from my resume using clear and impactful language while highlighting my accomplishments. [Paste Resume]"
5. Writing a LinkedIn Summary ChatGPT prompt: "Can you write a summary for my LinkedIn profile using my resume [Paste Resume]?"
6. Job Applications with ChatGPT ChatGPT prompt: "Can you identify my [Skills] experience from my resume [Paste Resume]? Please describe my specific [Skills] experience in conversational, clear language as if you were me."
7. Crafting Your Cover Letter ChatGPT prompt: "Can you write a personalized cover letter for the [Job Title] position at [Company]? Here's the job description: [Paste Job Description], and my current resume: [Paste Resume]."
8. Preparing for Interviews ChatGPT prompt: "What skills and experiences should I emphasize during an interview for the [Job Title] role in [Specific Industry]?"
ENJOY LEARNING ๐๐
Forwarded from Artificial Intelligence
๐ ๐ฎ๐๐๐ฒ๐ฟ ๐ฒ ๐๐ป-๐๐ฒ๐บ๐ฎ๐ป๐ฑ ๐ฆ๐ธ๐ถ๐น๐น๐ ๐ณ๐ผ๐ฟ ๐๐ฅ๐๐!๐
Want to boost your career with highly sought-after tech skills? These 6 YouTube channels will help you learn from scratch!๐จโ๐ป
No need for expensive coursesโstart learning for FREE today!๐
๐๐ข๐ง๐ค๐:-
https://pdlink.in/3Ddxd7P
Donโt miss this opportunityโstart learning today and take your skills to the next level!โ ๏ธ
Want to boost your career with highly sought-after tech skills? These 6 YouTube channels will help you learn from scratch!๐จโ๐ป
No need for expensive coursesโstart learning for FREE today!๐
๐๐ข๐ง๐ค๐:-
https://pdlink.in/3Ddxd7P
Donโt miss this opportunityโstart learning today and take your skills to the next level!โ ๏ธ
Forwarded from Python Projects & Resources
๐ง๐ต๐ฒ ๐๐ฒ๐๐ ๐๐ฟ๐ฒ๐ฒ ๐๐ฎ๐๐ฎ ๐ฆ๐ฐ๐ถ๐ฒ๐ป๐ฐ๐ฒ ๐๐ต๐ฒ๐ฎ๐ ๐ฆ๐ต๐ฒ๐ฒ๐ ๐ผ๐ป ๐๐ถ๐๐๐๐ฏ ๐๐๐ฒ๐ฟ๐ ๐๐ฒ๐ด๐ถ๐ป๐ป๐ฒ๐ฟ ๐ฆ๐ต๐ผ๐๐น๐ฑ ๐๐ผ๐ผ๐ธ๐บ๐ฎ๐ฟ๐ธ๐
๐ง Master Data Science Faster with This Free GitHub Cheat Sheet๐
Whether youโre starting your data science journey or preparing for job interviews, having the right revision tool can make all the difference๐ฏ
๐๐ข๐ง๐ค๐:-
https://pdlink.in/4klQmF3
Must-have resource for students and professionalsโ ๏ธ
๐ง Master Data Science Faster with This Free GitHub Cheat Sheet๐
Whether youโre starting your data science journey or preparing for job interviews, having the right revision tool can make all the difference๐ฏ
๐๐ข๐ง๐ค๐:-
https://pdlink.in/4klQmF3
Must-have resource for students and professionalsโ ๏ธ