I am Mohammad, and I work in the field of artificial intelligence and data science. I have been involved in coding for about 3 years now, and in the past year, I have dedicated all my time to learning artificial intelligence. I hope to become one of the best in this field.
Project Highlights 🚀
-
Iris Dataset:
Conducted comprehensive analysis using the Iris dataset to categorize flowers based on features such as "SepalLengthCm" and "PetalWidthCm."
-
Titanic Dataset:
Built a predictive model to determine passenger survival on the Titanic using machine learning techniques, analyzing factors like gender, class, and age.
-
Adult Dataset:
Utilized the Adult dataset to predict financial status based on socio-economic factors, employing data analysis and predictive modeling.
-
NYC Taxi Trip Duration:
Investigated NYC Taxi Trip Duration dataset, extracting insights and developing models to predict taxi trip durations, enhancing transportation efficiency.
Skill Set 💪
Programming Languages
Python
Libraries and Frameworks
scikit-learn
docker
pytorch
seaborn
numpy
pandas
Databases
SQL
Mongodb
Tools
ubuntu
vscode
git
jupyter_lab
Project Highlights 🚀
-
Iris Dataset:
Conducted comprehensive analysis using the Iris dataset to categorize flowers based on features such as "SepalLengthCm" and "PetalWidthCm."
-
Titanic Dataset:
Built a predictive model to determine passenger survival on the Titanic using machine learning techniques, analyzing factors like gender, class, and age.
-
Adult Dataset:
Utilized the Adult dataset to predict financial status based on socio-economic factors, employing data analysis and predictive modeling.
-
NYC Taxi Trip Duration:
Investigated NYC Taxi Trip Duration dataset, extracting insights and developing models to predict taxi trip durations, enhancing transportation efficiency.
Iris Dataset: Conducted comprehensive analysis using the Iris dataset to categorize flowers based on features such as "SepalLengthCm" and "PetalWidthCm."
Titanic Dataset: Built a predictive model to determine passenger survival on the Titanic using machine learning techniques, analyzing factors like gender, class, and age.
Adult Dataset: Utilized the Adult dataset to predict financial status based on socio-economic factors, employing data analysis and predictive modeling.
NYC Taxi Trip Duration: Investigated NYC Taxi Trip Duration dataset, extracting insights and developing models to predict taxi trip durations, enhancing transportation efficiency.
Skill Set 💪
Programming Languages
| Python |
|---|
 |
Libraries and Frameworks
| scikit-learn | docker | pytorch | seaborn | numpy | pandas |
|---|---|---|---|---|---|
 |
 |
 |
 |
 |
 |
Databases
| SQL | Mongodb |
|---|---|
 |
 |
Tools
| ubuntu | vscode | git | jupyter_lab |
|---|---|---|---|
 |
 |
 |
 |
You can reach me via email at [email protected] or connect with me on LinkedIn: LinkedIn Profile.
Feel free to visit my website for more information: MyWebsite.
