I will do data science and data analysis project with jupyter notebook on python
I will do data science and data analysis project with jupyter notebook on python
Data science and data analysis projects with Jupyter Notebook on Python are a great way to learn and practice data science skills. Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations, and narrative text.
Get data science and data analysis project with jupyter notebook on python
To get started with a data science project using Jupyter Notebook on Python, you can follow these steps:
- Install Python on your computer if you haven’t already done so.
- Install Jupyter Notebook using pip or conda.
- Create a new Jupyter Notebook file.
- Import the necessary libraries such as pandas, numpy, matplotlib, etc.
- Load your data into the notebook using pandas.
- Clean and preprocess your data as needed.
- Analyze your data using various techniques such as descriptive statistics, data visualization, etc.
- Draw conclusions from your analysis and present your findings.
Here’s a tutorial on Data Analysis and Visualization with pandas and Jupyter Notebook in Python 3 that can help you get started with a project.
There are many data science tools available that can help you with various tasks such as data processing, analysis, visualization, mining, reporting, and filtering. Here are some popular data science tools used by professionals:
- Python - a popular programming language for working with data
- R - another programming language for working with data
- Jupyter Notebook - an open-source web application that allows you to create and share documents that contain live code, equations, visualizations, and narrative text
- Apache Spark - an open-source data processing and analytics engine that can handle large amounts of data
- D3.js - a JavaScript library for creating custom data visualizations in a web browser
- IBM SPSS - a software suite used for statistical analysis
- Tableau - a business intelligence and data visualization tool
- Microsoft Excel - a spreadsheet software used for data analysis and visualization
- SAS - a software suite used for advanced analytics, multivariate analyses, business intelligence, data management, and predictive analytics
- MATLAB - a programming language used for numerical computing and data analysis
Here’s an article on 19 Popular Data Science Tools Used by Professionals that can help you learn more about these tools.
There are many popular Python libraries for data science that can help you with various tasks such as data manipulation, analysis, visualization, and machine learning. Here are some of them:
- NumPy - a library for scientific and analytics-related computing in Python
- Pandas - a library for data manipulation and analysis
- Matplotlib - a library for creating informative, attractive, and immersive visualizations in Python
- Seaborn - a library used for creating visualizations of statistical data
- scikit-learn - a library for machine learning in Python
- TensorFlow - an open-source software library for dataflow and differentiable programming across a range of tasks
- Keras - an open-source software library for neural networks written in Python
- Statsmodels - a Python module that provides classes and functions for the estimation of many different statistical models
Here’s an article on 15 Python Libraries for Data Science You Should Know that can help you learn more about these libraries.
My Skill list for the Projects;
Programming Skills (Python and it's framework and libraries)
Data Preprocessing
- Dealing with missing data
- Complete EDA
- Outlier detection and correction
- Feature Engineering(Create, Transform, extract and select)
- Normalization
- Dimension reduction
Data Visualization
- Matplotlib
- Plotly
- Seaborn
Machine Learning
- Linear Regression
- Logistic Regression
- K-nearest neighbour (KNN)
- Decision Tree Classifier
- Bayesian Algorithm
- Clustering Algorithms
- Market Basket Analysis
Services that I offer:
- Data Preprocessing
- Text Preprocessing
- Data Visualization
- Sentiment score
- Machine Learning
- Data Analysis
- Data Visualization
- Feature engineering
- Dimension reduction
- Customer Segmentation
- RFM Analysis
Get in touch today and let me help you unleash the power of your data to drive business growth and success!
I'm a data scientist with a master's degree offering services on Fiverr for machine learning, data science, deep learning, and NLP tasks. I specialize in data preparation, modeling, and deployment, with expertise in computer vision, NLP, time series analysis, and recommender systems. I also provide consultation on data strategy, architecture, visualization, and reporting. My solutions are customized to clients' specific needs, using tools like Python, TensorFlow, PyTorch, and Scikit-Learn.
Silver : $50
Gold : $175
Platinum : $350
