You will get highly researched ML, DL projects
Project details
#Attention: Before engaging in work, we can exchange some work samples so that you can believe that we can handle your messy work.
You will get a Machine Learning data analysis based on your data. We not only analyze data. We homework your data. And then we apply our thoughts on that homework. We will provide your work until we reach our contentment....So you will get a content project if everything is okay. Our duty is to tell you. Your duty is to believe in us.
You will get a Machine Learning data analysis based on your data. We not only analyze data. We homework your data. And then we apply our thoughts on that homework. We will provide your work until we reach our contentment....So you will get a content project if everything is okay. Our duty is to tell you. Your duty is to believe in us.
Machine Learning Tools
NumPy, pandas, Python, Python Scikit-Learn, scikit-learn, XGBoostWhat's included
| Service Tiers |
Starter
$50
|
Standard
$100
|
Advanced
$200
|
|---|---|---|---|
| Delivery Time | 3 days | 4 days | 6 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 0 | 1 | 5 |
Number of Scenarios | 3 | 4 | 6 |
Number of Graphs/Charts | 3 | 6 | 8 |
Model Validation/Testing | - | - | |
Model Documentation | - | - | |
Data Source Connectivity | - | - | |
Source Code | - | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$10 - $50
Source Code
(+ 1 Day)
+$50About Shahadat
Machine Learning Engineer
Dhakadakshin, Bangladesh - 1:32 pm local time
Are you looking to leverage the power of Artificial Intelligence to solve complex problems and gain a competitive edge? I'm a seasoned Machine Learning Engineer with a proven track record in Natural Language Processing (NLP), Deep Learning, Computer Vision (CV), and Predictive Analysis.
My Expertise:
Natural Language Processing (NLP):
I build sophisticated NLP solutions for text classification, sentiment analysis, language translation, chatbots, and information extraction.
Deep Learning:
I specialize in developing and deploying deep learning models using frameworks like TensorFlow and PyTorch, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Transformers.
Computer Vision (CV):
I create cutting-edge CV applications for image recognition, object detection, image segmentation, and video analysis.
Predictive Analysis:
I develop robust predictive models for forecasting, risk assessment, and decision-making, utilizing techniques like regression, time series analysis, and machine learning classification.
Why Choose Me?
Results-Driven: I focus on delivering solutions that provide tangible business value.
Strong Problem-Solving Skills: I thrive on tackling challenging problems and finding innovative solutions.
Clear Communication: I ensure transparent and effective communication throughout the project lifecycle.
Staying Current: I am committed to continuous learning and staying updated with the latest advancements in AI.
Demo/Portfolio Highlights:
Sentiment Analysis for Social Media: Developed a real-time sentiment analysis system that analyzes social media feeds to provide insights into customer opinions.
Image Recognition for E-commerce: Built an image recognition model that automatically classifies product images, improving search and categorization.
Predictive Maintenance for Industrial Equipment: Created a predictive maintenance model that forecasts equipment failures, reducing downtime and maintenance costs.
Chatbot for customer support: Developed a chatbot that uses NLP to understand and respond to customer questions.
Object detection for autonomous vehicles: Trained a model to detect various objects in a video feed.
Let's discuss how I can help you turn your data into actionable intelligence. Contact me today to get started!
Steps for completing your project
After purchasing the project, send requirements so Shahadat can start the project.
Delivery time starts when Shahadat receives requirements from you.
Shahadat works on your project following the steps below.
Revisions may occur after the delivery date.
EDA
1. We will clean the data. 2. Will check null values. 3. Validate the data for work 4. Analyze the data through different charts possible. 5. For advance work, we will push the boundary upto we can for advance analysis.
Feature Engineering.
1. We will extract the values for our target. 2. If needed, we will extract features, and transform them for better work. 3. The more feature, the more we can extract relationship among the data. 4. Finally we will prepare them for model deployment.