As a recent graduate, I'm eager to apply my skills in data analysis and machine learning as a Data Scientist. Proficient in Python and equipped with a strong foundation in statistical analysis, machine learning and data visualization. Seeking an entry-level position to apply my analytical skills, contribute to impactful projects and further develop my expertise in the dynamic field of data science.
- Tools : Pandas, Numpy, Seaborn, Matplotlib, Sklearn
- Gathering Data from Kaggel dataset and covert to dataframe using pandas library.
- Visualize data using python libraries seaborn and matplotlib. Using pandas, numpy library for data preparation
- Building a Model using lasso regression , random forest algorithms Using evalation metrics to evaluate the model perfomance.
- Tools : Pandas, Numpy, Seaborn, Matplotlib, Sklearn
- Gathering Data from Kaggel datasetand covert to dataframe usingpandas library.
- Using Targerencoder for convert catagorical data to numerical .
- Using Seaborn and Matplotlib for explore correlations between variables, and gain insights into the data.
- To evaluate the performance, we'll utilize evaluation metrics such as accuracy score and confusion matrix
- Building a Model using Logistical Regression, SVM algorithms
- Data Science
- Data Analysis
- Machine Learning
- Python
- MYSQL
- MS Excel
- Data Visualization
- Power BI
- Dashboards
- Power BI Dashboards And Tableau
Thanks for visiting! Feel free to explore my repositories and provide feedback. Let's connect and learn together! 🚀