You will get a quality work of data science with in your budget
You will get a quality work of data science with in your budget
Silver
A simple machine learning and deep learning algorithm in Python.
- Delivery Time 5 days
- Number of Revisions 1
- Number of Model Variations 1
- Model Validation/Testing
- Source Code
5 days
delivery —
Sep 15, 2024
Revisions may occur after this date.
Upwork Payment Protection
Fund the project upfront. Shurahbeel gets paid once you are satisfied with the work.
Project details
Greetings! Thank you for visiting my profile! I have extensive experience in the fields of Deep Learning and Machine Learning, which has allowed me to develop a strong expertise in these areas. With my expertise in these advanced technologies, I am fully capable of supporting you in your project and guiding you towards your desired results. If you're in need of a highly skilled professional with a strong background in Deep Learning and Machine Learning, your search ends here. I am highly skilled in delivering valuable insights, creative solutions, and outstanding outcomes. Let's begin working on your project.
Machine Learning Tools
Microsoft Excel, Microsoft Power BI, NLTK, NumPy, pandas, Python, Python Scikit-Learn, PyTorch, RapidMiner, scikit-learn, Scrapy, SPSS, SQL, Tableau, TensorFlow, TextBlob, WekaWhat's included
| Service Tiers |
Starter
$150
|
Standard
$300
|
Advanced
$500
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 21 days |
Number of Revisions | 1 | 3 | Unlimited |
Number of Model Variations | 1 | 3 | 7 |
Model Validation/Testing | |||
Model Documentation | - | - | |
Data Source Connectivity | - | ||
Source Code |
About Shurahbeel
Data Scientist
Rawalpindi, Pakistan - 12:34 pm local time
Greetings! I'm Muhammad Shurahbeel Bin Sajid, a dedicated and results-driven Data Scientist with a passion for transforming raw data into actionable insights. With proven expertise, I bring a unique blend of technical prowess and creative problem-solving to the table.
**🌐 Skills Snapshot:**
- **Data Analysis:** Unraveling the stories hidden within the numbers.
- **Machine Learning:** Crafting intelligent algorithms for predictive modelling.
- **Statistical Analysis:** Illuminating trends and patterns.
- **Data Visualization:** Turning insights into impactful stories.
- **Python Programming:** My coding canvas for data wizardry.
**🔍 What Sets Me Apart:**
- **Curiosity:** I thrive on exploring the unknown and discovering novel solutions.
- **Collaborative Spirit:** Your goals are my goals; let's achieve them together.
- **Adaptability:** Embracing new challenges and technologies with enthusiasm.
**🌟 My Offerings:**
1. **Data Analysis:** Transforming raw data into actionable insights.
2. **Machine Learning Models:** Building models for accurate predictions.
3. **Statistical Consulting:** Guiding decisions with robust statistical analyses.
4. **Data Visualization:** Creating visually compelling stories from your data.
5. **Code Mastery:** Harnessing the power of Python for seamless data manipulation.
**📈 Past Achievements:**
- Implemented data-driven strategies resulting in about 92% improvement in CNN.
- Developed and deployed machine learning models that optimized LR, DT, and NB efficiency by more than 90%.
- Collaborated with cross-functional teams to deliver actionable insights for key decision-making.
**💬 Let’s Connect!**
If you're seeking a Data Scientist who not only crunches numbers but also transforms them into strategic assets, then look no further. Let's embark on a journey of data-driven success together!
**📩 Contact me today to discuss how I can elevate your data game!**
Steps for completing your project
After purchasing the project, send requirements so Shurahbeel can start the project.
Delivery time starts when Shurahbeel receives requirements from you.
Shurahbeel works on your project following the steps below.
Revisions may occur after the delivery date.
Formal Zoom Meeting before placing project
We will schedule a formal meeting to discuss about the depth of project.
Place an order.
You will place an order and share the related dataset.