I will do machine learning and deep learning tasks with python
Level 2
Has met high performance criteria and has a proven track record for meeting client expectations.
About this Gig
Welcome to my gig:
I am a Software Engineering and have 2+ years of experience in the field of Machine Learning and Deep Learning. I have done a lot of work in Python, Machine Learning, Deep Learning, Data Visualization, Data Preprocessing and Model Training using Python Jupyter Notebook, and Google Colab using different Python packages and frameworks.
I have been working on the following Techniques:
Data Analysis(Numpy and Pandas)
Statistical Anylysis(Scipy)
Data Visualization( Matplotlib Seaborn and Plotly )
Classification(Sci-kit learn, Pytorch. etc)
Api(FastApi)
Cloud dev(dockers)
Regression
Clustering
Supervised Machine Learning
I will use these models depending on your problem statement:
- Linear and Logistic Regression
- Decision Trees
- Random Forest
- SVM
- Naive Bayes
- KNN
- Gradient Boosting Algorithms
- Ensemble Methods
- CNN
- RNN LSTM
- NLP
Services I offer:
- Data Preprocessing
- Text Preprocessing
- Data Visualization
- Sentiment Analysis
- Machine Learning
- Data Analysis
- Deep Learning
- Model Training
- Frontend With Reactjs and DataBase
Tools I use:
- Python
- Jupyter Notebook
- Google Colab
My services are not limited to what is listed above, don't hesitate to CONTACT BEFORE ORDER
Warehouse Platform:
Snowflake
Project Type:
New Build
My Portfolio
FAQ
How can data science help businesses?
Data science can help businesses by providing insights and recommendations based on data analysis. This can help businesses make informed decisions, optimize processes, and identify new opportunities for growth.
What programming languages are commonly used in data science?
Python and R are two popular programming languages used in data science. Python is often preferred for its simplicity and versatility, while R is commonly used in statistical analysis and modeling.
How long does a data science project take?
The duration of a data science project can vary depending on the scope and complexity of the project. Some projects can be completed within a few days or weeks, while others may take several months or even years.
What is machine learning?
machine learning is a subfield of artificial intelligence (AI) that involves training algorithms to learn patterns and relationships in data. It is commonly used in data science to build predictive models that can make predictions or classify new data.
What kind of data can be analyzed in a data science gig?
Data science can analyze any kind of data, such as numerical, categorical, text, or image data. The data can come from various sources such as surveys, databases, web scraping, or social media.

