🚀 Deep Learning CNN Project: Cat vs Dog Classification

🔍 Key Highlights:
📸 25,000 training images, 12,500 testing images
🧠 Custom fully connected layers
➡️ Binary Cross-Entropy loss function
⚙️ Exponential decay and learning rate schedule

🛠 Tools & Libraries:
📊 TensorFlow & Keras
📈 NumPy, OpenCV, Matplotlib
📉 Learning rate scheduling

Data Analytics Skills that will get you hired

𝗗𝗮𝘁𝗮 𝗣𝗿𝗲𝗽𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴

𝗗𝗮𝘁𝗮 𝗣𝗿𝗲𝗽𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴 is an indispensable stage in the data science workflow, crucial for the success of downstream processes such as analytics and machine learning modeling. It involves a comprehensive set of operations that prepare raw data for further processing and analysis. This stage is fundamental because it directly impacts the quality of insights derived from the data and the performance of predictive models.

𝗧𝗵𝗲 𝗶𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝗰𝗲 𝗼𝗳 𝗱𝗮𝘁𝗮 𝗽𝗿𝗲𝗽𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴 stems from the fact that real-world data is often incomplete, inconsistent, and lacking in certain behaviors or trends. It may contain errors, outliers, or noise that can significantly distort results and lead to misleading conclusions.
𝗧𝗵𝗲𝗿𝗲𝗳𝗼𝗿𝗲, preprocessing aims to clean and organize the data, enhancing its quality and making it more suitable for analysis.

👉 I’ve compiled the following list which includes 𝗼𝘃𝗲𝗿 𝗮 𝟭𝟱𝟬 𝗲𝘀𝘀𝗲𝗻𝘁𝗶𝗮𝗹 𝗱𝗮𝘁𝗮 𝗽𝗿𝗲𝗽𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴 𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀, ranging from basic data cleaning techniques like handling missing values and outliers to more advanced procedures like 𝗳𝗲𝗮𝘁𝘂𝗿𝗲 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴, 𝗵𝗮𝗻𝗱𝗹𝗶𝗻𝗴 𝗶𝗺𝗯𝗮𝗹𝗮𝗻𝗰𝗲𝗱 𝗱𝗮𝘁𝗮𝘀𝗲𝘁𝘀, 𝗮𝗻𝗱 𝗽𝗿𝗲𝗽𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴 𝗳𝗼𝗿 𝘀𝗽𝗲𝗰𝗶𝗳𝗶𝗰 𝗱𝗮𝘁𝗮 𝘁𝘆𝗽𝗲𝘀 𝗹𝗶𝗸𝗲 𝘁𝗲𝘅𝘁 𝗮𝗻𝗱 𝗶𝗺𝗮𝗴𝗲𝘀.

Mastery of these techniques is crucial for anyone looking to delve into data science, as they lay the groundwork for all subsequent steps in the data analysis and machine learning pipeline.

Business Analytics vs Data Analytics

Data-Science-Regular-Bootcamp

Regular practice on Data Science, Machien Learning, Deep Learning, Solving ML Project problem, Analytical Issue. Regular boost up my knowledge. The goal is to help learner with learning resource on Data Science filed.

Creator: Sanjoy Kumar Biswas
Stars ⭐️: 68
Forked By: 30
https://github.com/imsanjoykb/Data-Science-Regular-Bootcamp

#machine #learning #datascience
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Best Platforms to Learn Business Analytics

Deep Learning for Beginners
Deep Learning: A Visual Approach

The Foundation of Data Science

Data Science for Beginners: Your Step-by-Step Guide To Start

Mastering Excel & MySQL with Board Infinity: For Aspiring Data Scientists: Diving Deep into Spreadsheets & Databases

Rating ⭐️: 4.1 out 5
Students 👨‍🎓 : 6,015
Duration ⏰ : 1hr 57min on-demand video
Created by 👨‍🏫: Board Infinity

🔗 Course Link


#Data_Science
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Data-Scientist-In-Python

This repository contains notes and projects of Data scientist track from dataquest course work.

Creator: Anshu Trivedi
Stars ⭐️: 55
Forked By: 30
https://github.com/AnshuTrivedi/Data-Scientist-In-Python

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YouTube Channels for Business Analyst

AI Agents - Build and Host LLM Apps At Scale

Explore, Track, Predict the ISS in Realtime With Python

Where is the International Space Station, Who's On It? Let's Build a Web App to Find out with Python and Data Science

Rating ⭐️: 4.8 out 5
Students 👨‍🎓 : 11,783
Duration ⏰ : 1hr 13min on-demand video
Created by 👨‍🏫: Manuel Amunategui

🔗 Course Link


#Data_Science #python #ISS
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8 Data Architect Skills

Python Libraries Every Data Scientist Should Know

keras

Deep Learning for humans

Creator: Keras
Stars ⭐️: 60.1k
Forked By: 19.5k
https://github.com/keras-team/keras

#deep #learning #datascience #keras
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Power BI vs Tableau

Statistical Decision Making in Data Science with Case Study

Understand how Statistics is Applied to Data Science Problem like ANOVA, t-test, F-test in Python

Rating ⭐️: 4.3 out 5
Students 👨‍🎓 : 18,612
Duration ⏰ : 52min on-demand video
Created by 👨‍🏫: Data Science Anywhere, Sudhir G, Convolution Innovations

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Exploratory Data Analysis ( EDA)

Top Data Analytical Skills Employers Want in 2024