📈 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
👍1
👍3
We have the Key to unlock AI-Powered Data Skills!
We have got some news for College grads & pros:
Level up with PW Skills' Data Analytics & Data Science with Gen AI course!
✅ Real-world projects
✅ Professional instructors
✅ Flexible learning
✅ Job Assistance
Ready for a data career boost? ➡️
Click Here for Data Science with Generative AI Course:
https://shorturl.at/j4lTD
Click Here for Data Analytics Course:
https://shorturl.at/7nrE5
We have got some news for College grads & pros:
Level up with PW Skills' Data Analytics & Data Science with Gen AI course!
✅ Real-world projects
✅ Professional instructors
✅ Flexible learning
✅ Job Assistance
Ready for a data career boost? ➡️
Click Here for Data Science with Generative AI Course:
https://shorturl.at/j4lTD
Click Here for Data Analytics Course:
https://shorturl.at/7nrE5
👍4
Forwarded from SQL Programming Resources
𝗧𝗼𝗽 𝟰 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 𝗧𝗼 𝗠𝗮𝘀𝘁𝗲𝗿 𝗦𝗤𝗟 𝗙𝗼𝗿 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 😍
These FREE resources are all you need to go from beginner to confident analyst! 💻📊
✅ Hands-on projects
✅ Beginner to advanced lessons
✅ Resume-worthy skills
𝗟𝗶𝗻𝗸:-👇
https://pdlink.in/4jkQaW1
Learn today, level up tomorrow. Let’s go!✅
These FREE resources are all you need to go from beginner to confident analyst! 💻📊
✅ Hands-on projects
✅ Beginner to advanced lessons
✅ Resume-worthy skills
𝗟𝗶𝗻𝗸:-👇
https://pdlink.in/4jkQaW1
Learn today, level up tomorrow. Let’s go!✅
5 Essential Portfolio Projects for data analysts 😄👇
1. Exploratory Data Analysis (EDA) on a Real Dataset: Choose a dataset related to your interests, perform thorough EDA, visualize trends, and draw insights. This showcases your ability to understand data and derive meaningful conclusions.
Free websites to find datasets: https://t.iss.one/DataPortfolio/8
2. Predictive Modeling Project: Build a predictive model, such as a linear regression or classification model. Use a dataset to train and test your model, and evaluate its performance. Highlight your skills in machine learning and statistical analysis.
3. Data Cleaning and Transformation: Take a messy dataset and demonstrate your skills in cleaning and transforming data. Showcase your ability to handle missing values, outliers, and prepare data for analysis.
4. Dashboard Creation: Utilize tools like Tableau or Power BI to create an interactive dashboard. This project demonstrates your ability to present data insights in a visually appealing and user-friendly manner.
5. Time Series Analysis: Work with time-series data to forecast future trends. This could involve stock prices, weather data, or any other time-dependent dataset. Showcase your understanding of time-series concepts and forecasting techniques.
Share with credits: https://t.iss.one/sqlspecialist
Like it if you need more posts like this 😄❤️
Hope it helps :)
1. Exploratory Data Analysis (EDA) on a Real Dataset: Choose a dataset related to your interests, perform thorough EDA, visualize trends, and draw insights. This showcases your ability to understand data and derive meaningful conclusions.
Free websites to find datasets: https://t.iss.one/DataPortfolio/8
2. Predictive Modeling Project: Build a predictive model, such as a linear regression or classification model. Use a dataset to train and test your model, and evaluate its performance. Highlight your skills in machine learning and statistical analysis.
3. Data Cleaning and Transformation: Take a messy dataset and demonstrate your skills in cleaning and transforming data. Showcase your ability to handle missing values, outliers, and prepare data for analysis.
4. Dashboard Creation: Utilize tools like Tableau or Power BI to create an interactive dashboard. This project demonstrates your ability to present data insights in a visually appealing and user-friendly manner.
5. Time Series Analysis: Work with time-series data to forecast future trends. This could involve stock prices, weather data, or any other time-dependent dataset. Showcase your understanding of time-series concepts and forecasting techniques.
Share with credits: https://t.iss.one/sqlspecialist
Like it if you need more posts like this 😄❤️
Hope it helps :)
👍4