You will get machine learning and deep learning projects using python
Project details
Hi, I'm a Data Scientist with 3 years of experience. As a data specialist, I will focus on creating high-quality and leading-edge AI systems for your business. I stand by the notion that innovation and progress, achievable through AI, bring me happiness as they drive the growth of my clients.
I have been working on the following projects:
✅ Object Detection
✅ Object Tracking
✅ Data analysis
✅ Data Visualisation
✅ Prediction
✅ Classification
✅ Time Series forecasting
✅ Data Modelling
✅ Data warehousing
✅ Data Mining
✅ Regression
✅ Clustering
✅ Dimensionality Reduction
✅ Object Recognition
✅ Sentiment Analysis
✅ Recommender Systems
✅ Trading bot
✅ Deep learning-based projects
✅ Neural network-based projects
✅ Computer vision-based projects
✅ Natural language processing-based projects
✅ Other ...
Machine Learning Tools
BERT, ChatGPT, GPT-3, Keras, Microsoft Excel, NLTK, NumPy, OpenCV, pandas, Python, PyTorch, scikit-learn, SQL, TensorFlow, Word2vec, XGBoost
I want to serve you with my skills and I am sure you will be satisfied.
I have been working on the following projects:
✅ Object Detection
✅ Object Tracking
✅ Data analysis
✅ Data Visualisation
✅ Prediction
✅ Classification
✅ Time Series forecasting
✅ Data Modelling
✅ Data warehousing
✅ Data Mining
✅ Regression
✅ Clustering
✅ Dimensionality Reduction
✅ Object Recognition
✅ Sentiment Analysis
✅ Recommender Systems
✅ Trading bot
✅ Deep learning-based projects
✅ Neural network-based projects
✅ Computer vision-based projects
✅ Natural language processing-based projects
✅ Other ...
Machine Learning Tools
BERT, ChatGPT, GPT-3, Keras, Microsoft Excel, NLTK, NumPy, OpenCV, pandas, Python, PyTorch, scikit-learn, SQL, TensorFlow, Word2vec, XGBoost
I want to serve you with my skills and I am sure you will be satisfied.
Machine Learning Tools
Apache Mahout, Apache Spark, Databricks MLflow, GitHub Copilot, Google Sheets, MATLAB, MLflow, NumPy, OpenCV, pandas, Python, PyTorch, SAS, SciPy, Scrapy, SQL, Stanford CoreNLP, Tableau, TensorFlowWhat's included
| Service Tiers |
Starter
$85
|
Standard
$150
|
Advanced
$250
|
|---|---|---|---|
| Delivery Time | 5 days | 7 days | 12 days |
Number of Revisions | 2 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Model Validation/Testing | |||
Model Documentation | - | - | - |
Data Source Connectivity | - | ||
Source Code |
Frequently asked questions
About Bepasha
Full Stack Developer & Data Analyst
Dhaka, Bangladesh - 8:36 pm local time
specializing in Python and React.js.providing top-tier business growth solutions. Knowledge
in both front-end and back-end development, including web application design, RESTful APIs,
and efficient algorithms Among the frameworks I am familiar with are Flask, Django, Express.js,
and Node.js and also xperience in building data-intensive applications, overcoming complex architectural,
and scalability issues in diverse industries.Proficient in predictive modeling, data processing,
and data mining algorithms.I will fulfill your requirement with sincerity and dedication. You can
connect with me to discuss work.
Web Technology –
Django, Django REST, FastAPI, React, Redux,
Node.js, Express.js,Bootstrap,Tailwind,HTML5,CSS3
Machine Learning –
Linear regression, Logistic regression, K-means,
kNN, SVM, DBSCAN and also have knowledge
on other algorithms.
Deep Learning –
ANN, CNN and also have knowledge on other
ML & DL framework / packages –
NumPy, pandas, Matplotlib, seaborn, scikit-
learn, TensorFlow, spaCy,NLTK, Implicit.
Steps for completing your project
After purchasing the project, send requirements so Bepasha can start the project.
Delivery time starts when Bepasha receives requirements from you.
Bepasha works on your project following the steps below.
Revisions may occur after the delivery date.
Dataset/Data Collection and Loading
I will collect the data from you or I will collect it by myself and load the data for further steps.
Dataset/Data Exploratory Analysis
I will apply data analysis techniques to analyze the data in-depth.