I will web development along with deep learning, ai ml, and data science
Researcher,Paper writeup,AI, ML and Data Visualization Deep Learning
About this Gig
Welcome to my gig:
I am doing bachelor's degree in Data science and have 4+ 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, Model Training, and Web Scraping 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)
Data Visualization( Matplotlib and Seaborn )
Classification(Sci-kit learn, Pytorch. etc)
Regression
Clustering
Supervised Machine Learning
Web Scrapping
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
- Time Series Analysis
- NLP
Services I offer:
- Data Preprocessing
- Text Preprocessing
- Data Visualization
- Sentiment Analysis
- Machine Learning
- Data Analysis
- Deep Learning
- Model Training
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
Langugae:
English
•
French
•
Hindi
•
Punjabi
Technical expertise:
Apache Spark
•
Hadoop
Industry:
Cyber security
•
Data analytics
My Portfolio
FAQ
Q: What services do you provide in this gig?
A: I offer a wide range of Data Science, Machine Learning, and Deep Learning services, including data preprocessing, text preprocessing, data analysis, visualization, model training, sentiment analysis, web scraping, and custom ML/DL solutions.
Q: Which tools and environments do you use?
A: I primarily work with Python in Jupyter Notebook and Google Colab. These allow for efficient coding, visualization, and collaboration.
Q: Can you perform data preprocessing and text preprocessing?
A: Yes! I can clean, transform, and prepare structured and unstructured datasets, including handling missing values, outliers, feature engineering, tokenization, and text normalization.
Q: Do you provide data analysis and visualization?
A: Absolutely. I use NumPy and Pandas for data analysis, and Matplotlib and Seaborn for creating clear and insightful visualizations.
Q: What kind of machine learning models can you build?
A: Depending on your problem, I can implement Linear Regression, Logistic Regression, Decision Trees, Random Forests, Support Vector Machines (SVM), Naive Bayes, KNN, Gradient Boosting algorithms, and Ensemble Methods.
Q: Do you also work with Deep Learning?
A: Yes, I build and train deep learning models using PyTorch and other frameworks. This includes Convolutional Neural Networks (CNNs) for image tasks, RNNs and LSTMs for sequence and time series analysis, and advanced NLP models for text processing.
Q: Can you help with clustering or unsupervised learning?
A: Yes, I can perform clustering using algorithms such as K-Means, Hierarchical Clustering, and other unsupervised learning methods to find patterns in your data.
Q: Do you work on time series and NLP tasks?
A: Definitely. I have experience in time series forecasting, sentiment analysis, and natural language processing (NLP), using specialized models and libraries.
Q: Do you provide web scraping services?
A: Yes, I can collect data from websites using Python web scraping techniques, and then preprocess and analyze it as required.

