jerryyyyy708.github.io/YT_vis.html at main · jerryyyyy708/jerryyyyy708.github.io · GitHub

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                    <h1 class="pj_title">YT收益分析與視覺化</h1>
                    <p class="Complete">。Completed</p>
                </div>
                <h4>Dataset</h4>
                    <p>資料來自高中至大一經營的<a href="https://www.youtube.com/@user-xl8yn2th6t">YouTube頻道</a>真實數據。</p>

                    <h4>資料介紹</h4>
                        <p>
                            根據Domain Knowledge從後台中提取出觀看次數、觀看時間、喜歡、不喜歡等資訊以及頻道收益，再匯出為csv檔供使用。<br>
                            檔案內的資訊皆為頻道內的 <b>真實數據</b>，資料集僅供學習、研究用途，<b>嚴禁用於任何商業行為</b>，使用時需 <b>標記來源</b>。
                            <br>
                            以下為範例資料:
                            <br>
                            <img src = "/src/image.png" width="1200" height="540"></img>
                            <br>
                            點擊<a href="/src/YT_Revenue.csv">這裡</a>下載檔案。
                        </p>

                <h4>ML 數據分析</h4>
                <p>篩選出適合用於預測收益的feature後，利用Sklearn進行數據分析。</p>
                <ul>
                    <li>Decision Tree: 收益每1000元分為4個區間進行classification，準確率65%</li>
                    <li>RandomForest: 收益每1000元分為4個區間進行classification，準確率74%</li>
                    <li>KNN: 收益每1000元分為4個區間進行classification，準確率72%</li>
                    <li>Linear Regression: 預測實際收益數字，準確率73%</li>
                </ul>
                <p>並結合YouTube API v3與FLASK將模型deploy至網頁，可輸入影片連結進行收益預測，如下所示:</p>
                <img src = "/images/yt_pred.jpg" width="600" height="500" style="border: 1px solid black;"></img>
                <a href="https://youtube-revenue-predictor.onrender.com/">Demo Page</a>
                <h4 id="pend">資料視覺化</h4>
                    <p>利用 D3.js 建立 Histogram、Scatter Plot 以及 Parrelel Coordinate Plot 幫助分析各項指標對收益的影響。<br></p>
                    <embed src="/src/DV.pdf#toolbar=0" type="application/pdf" width=1200 height=650>
                        <a href="https://jerryyyyy708.github.io/YT_Revenue_Visualize/">Demo Page</a>

                <br>
                    <h4>Citation</h4>
                    <p>Please cite this dataset as:</p>
                    <textarea readonly class="form-control" rows="2" style="text-align: left;">[GCWS]. (2021). GCWS_YT_Revenue [Dataset]. Retrieved from [https://jerryyyyy708.github.io/YT_vis.html]
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